The Department of Mathematics and Computer Science at the University of Southern Denmark (campus Vejle) invites applications for both tenure-track Assistant Professors and Associate Professors in Computer Science, with emphasis on Sustainable and AI-driven Software Engineering. The targeted starting period is autumn 2026, with room for flexibility.

Hired candidates will join the Sustainable and AI-Driven Software Engineering Group (Sustain-AI) at the new SDU Centre for Computer Science and Artificial Intelligence in Campus Vejle. The Sustain-AI is part of the Section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP).

We encourage applications from researchers that can complement or strengthen the competences of the group. Examples of interesting research areas include, but are not limited to:

• Sustainable and AI-Driven Software Engineering.

• Software Engineering, including empirical software engineering and Software
  -  Architecture, software quality assurance.

• Cloud computing, edge computing, and Internet of Things, including software and operation techniques such as microservices, serverless and web technologies.

• LLM-assisted Software Engineering.

• System programming, including embedded systems, programming of critical software and infrastructure, high-performance computing, and distributed systems.

• Model-driven Software Engineering

• Cybersecurity, including security by design, blockchain, human factors in security, programming principles for security, and cryptography.

The Section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP) and the SustainAI — Sustainable and AI-Driven Software Engineering Group — is an ambitious cluster of researchers that fosters collaboration, research excellence, and quality education. We offer ample opportunities for collaboration, personal growth, and mentoring for starting independent research groups. 

The section’s current research covers a wide range of areas and topics that include symbolic AI and formal methods (logic, theorem provers, type systems, categories, etc.), concurrent programming languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops, software engineering (software product lines), human factors in security and privacy, post-quantum and embedded cryptography, and quantum programming languages. We are looking for new colleagues who can strengthen or add to our competences.  We encourage interested candidates to explore the section’s website at https://acp.sdu.dk/ and the SustainAI group’s website https://sustainai.sdu.dk for more information.

The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are 

• Algorithms

• Computational Science

• Data Science and Statistics 

• Geometry, Topology and Algebra

• Learning Experience Design

Our department offers an inclusive and international working environment with state-of-the-art facilities and strong traditions for collaboration across research groups, departments and faculties, and with other organisations like educational institutions, municipalities, and companies. The degrees offered by the department include BSc and MSc degrees in Computer Science, a BSc degree in Artificial Intelligence, and an MSc degree in Data Science. More information about the department can be found at https://imada.sdu.dk/.

The University of Southern Denmark (SDU) was founded in 1966 and now has more than 27.000 students, almost 20% of whom are from abroad. It has 3,800+ employees, and 115 different study programs in the fields of the humanities, social sciences, natural sciences, health sciences, and engineering. Its main campus is located in Odense and is complemented by modern campuses in Kolding, Esbjerg, Sønderborg and, most recently, Vejle. Each campus contributes to SDU’s strong regional presence and close collaboration with businesses, public institutions, and local communities.

Discover more about SDU’s newest addition, the Vejle campus, at www.sdu.dk/en/vejle.

Who we are looking for

An ideal candidate:

• holds a PhD degree in computer science or equivalent;

• has a research track record at a high international level, reflecting the academic age of the applicant;

• can teach and advise in computer science at all levels.

Fluency in English is required. Knowledge of Danish is not a requirement: more English than Danish is used when teaching in computer science, and more than half of the faculty members in computer science have international backgrounds. Successful applicants will be offered Danish courses by the municipality.

The position offers very competitive salaries and possibilities for startup packages. It also provides access to the university-level PhD programme in Computer Science.

Tenure-Track Assistant Professor Positions

For the tenure-track assistant professor positions, applications from promising early-career talents are highly encouraged. The Danish tenure-track employment is a focused assistant professorship with a guaranteed assessment for a position as tenured associate professor: before the end of the sixth year of employment and contingent on a positive academic assessment, the assistant professor will transit into a permanent (tenured) position as associate professor. A tenure-track assistant professor can request assessment for tenure earlier. If this assessment is negative, the assistant professor can request a second assessment within the final six months of employment.

Please see the full call, including how to apply, on https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/da/sites/CX_1001/job/3325/?utm_medium=jobshare

The Department of Mathematics and Computer Science at the University of Southern Denmark invites applications for both tenure-track Assistant Professors and Associate Professors in Computer Science, with focus on the area of Cybersecurity and Privacy. The targeted starting period is autumn 2026, with room for flexibility.

Hired candidates will join the Section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP) and the new SDU Centre for Computer Science and Artificial Intelligence in Campus Vejle. 

We encourage applications from researchers that can complement or strengthen the competences of the section. Examples of interesting research areas include, but are not limited to:

• Security and privacy by design, including secure software development.

• Security and privacy engineering, including privacy enhancing technologies.

• Cryptography, including post-quantum cryptography, quantum cryptography, and blockchain technology.

• Human and societal factors in security and privacy, including usable security and privacy, security and privacy behaviour, and security and privacy awareness.

• Network, mobile, and web security, including secure protocols, censorship, and resilient infrastructure.

• Security and AI, including ML security, explainable AI, and AI-driven security methods.

• Threat intelligence and defensive security, including incident response.

• Supply chain security, including OT security.

• Cyberwarfare and security for critical infrastructures.

• Hardware security, including embedded systems security and secure microarchitectures.

• Security governance, including compliance, audits, and standards.

Successful applicants will join the section of Artificial Intelligence, Cybersecurity, and Programming Languages, an ambitious cluster of research groups that fosters collaboration, research excellence, and quality education. We offer ample opportunities for collaboration, personal growth, and mentoring for starting independent research groups. The section’s current research covers a wide range of areas and topics that include symbolic AI and formal methods (logic, theorem provers, type systems, categories, etc.), concurrent programming languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops, software engineering (software product lines), human factors in security and privacy, post-quantum and embedded cryptography, and quantum programming languages. We are looking for new colleagues who can strengthen or add to our competences.  We e encourage interested candidates to explore the section’s website at https://acp.sdu.dk/ for more information.

The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are 

• Algorithms

• Computational Science

• Data Science and Statistics 

• Geometry, Topology and Algebra

• Learning Experience Design

Our department offers an inclusive and international working environment with state-of-the-art facilities and strong traditions for collaboration across research groups, departments and faculties, and with other organisations like educational institutions, municipalities, and companies. The degrees offered by the department include BSc and MSc degrees in Computer Science, a BSc degree in Artificial Intelligence, and an MSc degree in Data Science. More information about the department can be found at https://imada.sdu.dk/.

The University of Southern Denmark (SDU) was founded in 1966 and now has more than 27.000 students, almost 20% of whom are from abroad. It has 3,800+ employees, and 115 different study programs in the fields of the humanities, social sciences, natural sciences, health sciences, and engineering. Its main campus is located in Odense and is complemented by modern campuses in Kolding, Esbjerg, Sønderborg and, most recently, Vejle. Each campus contributes to SDU’s strong regional presence and close collaboration with businesses, public institutions, and local communities.

Discover more about SDU’s newest addition, the Vejle campus, at www.sdu.dk/en/vejle. 

Who we are looking for
An ideal candidate:

• holds a PhD degree in computer science or equivalent;

• has a research track record at a high international level, reflecting the academic age of the applicant;

• can teach and advise in computer science at all levels.

Fluency in English is required. Knowledge of Danish is not a requirement: more English than Danish is used when teaching in computer science, and more than half of the faculty members in computer science have international backgrounds. Successful applicants will be offered Danish courses by the university.

For the tenure-track assistant professor positions, applications from promising early-career talents are highly encouraged. The Danish tenure-track employment is a focused assistant professorship with a guaranteed assessment for a position as tenured associate professor: before the end of the sixth year of employment and contingent on a positive academic assessment, the assistant professor will transit into a permanent (tenured) position as associate professor. A tenure-track assistant professor can request assessment for tenure earlier. If this assessment is negative, the assistant professor can request a second assessment within the final six months of employment. 

Application process and appointment information
Appointment to the position will be in accordance with the salary agreement between the Ministry of Finance and the Danish Confederation of Professional Associations. Please check our International Staff Office’s website for more information on, e.g., salary and taxation.

The starting date is flexible but ideally around autumn 2026.

Application deadline is 11 January 2026 (end of day, Danish time).

The application including the required attachments must be in English.

The application must include the following:

• A cover letter (max 2 pages) stating which position(s) the applicant is applying for. The cover letter must present the applicant’s research topics and interests and how these relate to the topics of the call.

• Curriculum vitae (max 3 pages) including (if available) ORCID and a link to the applicant’s page on DBLP.[JM4] 

• A brief overview (max 1 page) of the applicant’s 3 most important publications, including a short description of the significance of each.

• A brief research plan (max 2 pages[JM5] [FM6] ) for the next three years.

• A full list of publications.

• Teaching portfolio.

• Certificates/diplomas (PhD degree or equivalent).

Shortlisting may be used in the assessment process.

Shortlisted applicants will be assessed by an assessment committee. Applicants will be informed of their assessment by the faculty. As part of the overall assessment, the applicant may be called for interview.

Please note that applicants for tenure-track assistant professorships are also assessed based on their potential to reach the assessment criteria for an associate professorship during the tenure-track period. These criteria are mapped out in the faculty’s policy on academic career and recruitment, specifically the performance indicators on research, teaching, and academic citizenship.

Please note that applicants are expected to have completed their PhD.

Incomplete applications and applications received after the deadline will neither be considered nor evaluated.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Applications must be submitted electronically using the link "Apply online". Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We strongly recommend that you read How to apply before you apply.

Application deadline: 11 January at 23:59 hours local Danish time

Please see the full call, including how to apply, on https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/da/sites/CX_1001/job/3326/?utm_medium=jobshare

Institut for Virksomhedsledelse søger et antal instruktorer til varetagelse af ugentlige øvelsestimer i faget Regnskab, som undervises på HA, HAjur, Økonomi, Mat.Øki Odense. Hvert øvelseshold har 2 øvelsestimer hver anden uge, i alt 7 gange, alternativt 1 øvelsestime pr. uge i 14 uger og koordineres i samarbejde med underviser.

Som ansøger vil det være en fordel at kende faget, litteraturen og minimum have bestået. Oecon og mat.øk studerende opfordres endvidere til at søge. Ansøgere skal være indskrevet som studerende på SDU for at komme i betragtning til stillingen.

Nærmere oplysning om fagene samt navn på den fagansvarlige finder du i de respektive fagbeskrivelser på MitSDU på uddannelsessiderne. Faglige spørgsmål bedes rettet til fagets fagansvarlige og diverse andre spørgsmål bedes rettet til sekretær Eva Devantier på mail evad@sam.sdu.dk. 

Ansættelses start: 1. Februar 2026.

Ansøgningsfrist: 1. december 2025

Vejledning til ansøgere:

Åbn linket "Ansøg nu", hvor du udfylder ansøgningsformularen samt uploader dine to filer.

Obligatorisk:

• Motiveret ansøgning

• CV (inkl. SDU karakterudskrift, eksamensbeviser, referencer)

Dokumenter bør ikke indeholde CPR-nummer - i så fald skal CPR-nummer overstreges.
Alle uploadede filer skal være i Adobe PDF-format. Ansøgning og CV må max. fylde 10 Mb i alt.

Ansøger bedes oplyse om han/hun har/har haft andre deltidsansættelser på SDU.
 

Ansættelsesperioden for en instruktor vil være 1, 2 eller 3 år. Dette kan man få oplyst ved henvendelse på instituttet.

Der gøres opmærksom på, at der ikke er noget krav om, at instruktorer har timer hvert semester i ansættelsesperioden.
Ansættelse sker i henhold til reglerne i overenskomsten mellem Finansministeriet og Studenteransattes Landsforbund/Foreningen af Danske Lægestuderende for studenterundervisere ved universiteterne med tilhørende protokollat.

 Syddansk Universitet ønsker at afspejle det omgivende samfund og opfordrer derfor alle uanset personlig baggrund til at søge stillingen.

Institut for Virksomhedsledelse søger instruktorer til at varetage vejledningsworkshops i faget Marketing på HA, som afholdes fysisk på Campus Odense i løbet af forårssemestret 2026.

Ansøgere der har bestået Marketing-faget med karakteren 10 eller derover foretrækkes. Vi lægger vægt på kendskab til anvendelse af metode - både kvantitativ og kvalitativ, samt kendskab til de klassiske marketingemner såsom segmentering, de 4 P’er, positionering, købsadfærd og strategi m.fl. Det er et krav at ansøger er indskrevet som studerende på SDU for at komme i betragtning til stillingen.

Nærmere oplysning om fagene samt navn på den fagansvarlige finder du i de respektive fagbeskrivelser på MitSDU på uddannelsessiderne. Faglige spørgsmål bedes rettet til fagets fagansvarlige og diverse andre spørgsmål bedes rettet til sekretær Eva Devantier på mail evad@sam.sdu.dk. 

Ansættelses start: 1. Februar 2026.

Ansøgningsfrist: 1. december 2025

Vejledning til ansøgere:

Åbn linket "Ansøg nu", hvor du udfylder ansøgningsformularen samt uploader dine to filer.

Obligatorisk:

• Motiveret ansøgning

• CV (inkl. SDU karakterudskrift, eksamensbeviser, referencer)

Dokumenter bør ikke indeholde CPR-nummer - i så fald skal CPR-nummer overstreges.
Alle uploadede filer skal være i Adobe PDF-format. 

Ansøgning og CV må max. fylde 10 Mb i alt.

Ansøger bedes oplyse om han/hun har/har haft andre deltidsansættelser på SDU.
 

Ansættelsesperioden for en instruktor vil være 1, 2 eller 3 år. Dette kan man få oplyst ved henvendelse på instituttet.

Der gøres opmærksom på, at der ikke er noget krav om, at instruktorer har timer hvert semester i ansættelsesperioden.
Ansættelse sker i henhold til reglerne i overenskomsten mellem Finansministeriet og Studenteransattes Landsforbund/Foreningen af Danske Lægestuderende for studenterundervisere ved universiteterne med tilhørende protokollat.

Syddansk Universitet ønsker at afspejle det omgivende samfund og opfordrer derfor alle uanset personlig baggrund til at søge stillingen.

The Protein Research Group at the University of Southern Denmark (SDU) in Odense is seeking a skilled doctoral candidate (DC, PhD student) to join our team. This role is pivotal in supporting the European Doctoral Network MIPrecise for development of novel affinity-binders for high-sensitivity proteomics and biomedical applications in cancer. 

This PhD position is an exciting opportunity to contribute to the international MIPrecise research project in a highly collaborative and dynamic working environment at SDU, Odense, DK. 

Project supervisor: Professor Ole Nørregaard Jensen

Workplace: Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark

The position is for 3 years and is available from February 1, 2026.

Role and Responsibilities:

• Use protein design concepts and deep-learning computational methods to develop novel protein-based affinity-binders for detection and quantification of post-translational modifications in proteins and peptides.

• Produce, purify and test selected designer proteins for enrichment of cancer biomarkers and to understand cellular signalling pathways involving post-translational modifications, including methylated and phosphorylated protein species.

• Complete coursework (30 ECTS) and contribute to workshops and training events within the MIPrecise consortium. 

• Visit collaborating research groups at Malmö University (S), University of Pavia (I), ReSyn Biosciences (RSA) and Proteome Sciences (D) for advanced training.

What We Offer:

• Cutting-Edge Research: Join one of Europe’s leading mass spectrometry and proteomics research groups. 

• Advanced Methodologies: Develop novel computational and experimental techniques to improve protein and proteome analysis in cancer and cell signaling research.

• Collaborative Environment: Be part of our interdisciplinary team with protein biochemistry, bioinformatics, and mass spectrometry expertise.

• State-of-the-Art Facilities: Access SDU UCloud high performance computer for protein structure prediction and analysis. take advantage of our advanced laboratory facilities and mass spectrometry instruments for testing of novel designer-binders.

• International Exposure: Present your findings for MIPrecise partners, participate in conferences and collaborate with experienced researchers.

• Benefit from competitive salary and social benefits, including health coverage and support for international candidates (relocation, visa assistance).

Your Academic Profile:

• Qualifications: An MSc degree (or equivalent experience) in computational protein science, biochemistry or molecular cell biology with a strong component of computational biology and/or protein 3D structure prediction and analysis.

• Experience in computational and experimental protein science: Candidates with experience in protein 3D structure analysis, protein expression and characterization will be prioritized.

• Programming Skills: Working knowledge in standard scripting languages such as R and Python is recommended.

• Further Technologies: Experience in protein 3D structure prediction and analysis by AlphaFold, RosettaFold, or similar tools is recommended.

Personal Competencies:

• Independence and Creativity: Analytical thinking and problem-solving skills with a passion for scientific research

• Interdisciplinary Collaboration: Willingness to engage in interdisciplinary research projects and collaborate with a diverse and international team of scientists and students. 

• Flexibility: Willingness to take on various tasks and adapt to new challenges. Mobility is a requirement as part of this international research project.

• Communication Skills: Proficiency in the English language (speaking, reading, writing) and excellent communications and presentation skills.

Please see the full call, including how to apply, on https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/da/sites/CX_1001/job/3298/?utm_medium=jobshare

We are seeking an enthusiastic new colleague as a PhD student in the field of Materials Chemistry with a strong background, particularly in Solid State Chemistry and Crystal Structure Analysis, and interest in industrial applications and cooperation to join the Mads Clausen Institute (MCI) at the University of Southern Denmark (SDU) in Sønderborg, Denmark. The position is for three years with an expected starting date of April 1, 2026, or as soon as possible. 

MCI is a part of the University of Southern Denmark (SDU) and covers research and education, including applications of engineering sciences. Our working language is English, reflecting the fact that far more than half of our students and staff are international. We are located at SDU’s beautiful campus in Sønderborg, in the inspiring building of Alsion, which is a centre for science, culture, and learning in the heart of Sønderborg and perched on the strait of water separating the island of Als from the mainland. The university has very close relations with industries in Sønderborg, Southern Denmark, and Northern Germany.

The successful candidate is expected to carry out research mainly within a project funded by the Novo Nordisk Foundation. The research work involves the synthesis and characterization of novel compounds based on mixed-anion compounds (e.g., transition metal (oxy)nitrides) and the evaluation of their performance in solar water splitting. Also, the successful candidate is expected to be actively involved in the supervision of BSc, MSc, and exchange/visiting students affiliated with SDU NanoSYD, preparing project reports, presentations, and publications, as well as writing grants for supporting research at SDU NanoSYD. 

Job Description and Responsibilities:

• Implementation of research tasks related to the project

• Collaborative and independent research planning, materials synthesis and characterization, crystal structure analysis, and performance evaluation of materials in solar water splitting

• Independent characterization, data analysis, and interpretation of research results

• Scientific communication and presentation of research results at group seminars, scientific conferences, project meetings, etc.

• Writing and publishing of project results in international high-impact scientific journals

Additional Responsibilities may be requested in:

• Supervision of BSc, MSc, and exchange/visiting students who perform research work on similar research topics 

• Assistance in teaching activities  

• Assistance in the preparation of grant proposals for external funding

• Assistance in laboratory organization and management 

 Qualifications (as required):

• MSc degree in Materials Science, Materials Chemistry, Solid State Chemistry, Solid State Physics, or related fields 

• Proven hands-on experience and knowledge of various synthesis methods in solid-state chemistry, preferably the methods used for the synthesis of mixed-anion compounds

• Technical skills in materials characterization techniques (e.g., XRD, XPS, SEM, etc.)   

• Technical skills in crystal structure analysis 

• Fluency in English (both spoken and written)

• Ability to work both in teams and independently 

• Strong communication and social skills 

• Willingness to collaborate with other scientists and industry 

Qualifications (as assets):

• Research experience in X-ray, synchrotron, and neutron radiation facilities

• Research experience in solid state chemistry and crystal structure analysis 

• A track record of experience in writing scientific publications

• Technical skills in scientific illustration and animation to deliver visual knowledge of the project 

• Proven record in participating in national and international research projects and programs

• Strong interest in a long-term commitment to a growing research group

Application procedure

Before applying the candidates are advised to read the Faculty information for prospective PhD students and the SDU information on how to apply.

Assessment of the candidates is based on the application material, and an application must include: 

• One-page motivation letter that describes the applicant’s educational background and previous research experience most relevant to the offered position and the reason for applying to the PhD program. 

• Curriculum Vitae.

• Master’s and bachelor’s degree certificates or equivalent, including transcripts of grades (copy of original/official English translation).  

• List of publications and maximum 2 examples of relevant publications (in case you have any publications).

• References may be included, you're welcome to use the form for reference letter at the Faculty website.

• A statement/documentation of other qualifications relevant to the position may also be included.

• Completed TEK PhD application form for 5+3 applicants. Find the form at the Faculty website.

• Completed TEK PhD form for calculation grade point average. Find the form at the Faculty website. 

• An official document describing the grading scheme of the awarding universities (if not Danish). 

• Research statement on developing novel mixed anion compounds, particularly metal (oxy)nitrides, for solar water splitting may also be included. 

• Only for applicants from programmes that evaluate thesis/examination project by approved/not approved: An official written assessment of the thesis or dissertation project from the grade giving institution. The statement must clearly state that the candidate has been among the top 30 pct. in the graduation class for the study programme.

All documents must be in English and PDF format. CPR number (civil registration no.) must be crossed out. All PDF-files must be unlocked and allow binding and may not be password protected.

UPLOAD GUIDE:  Motivated letter shall be uploaded under ‘Cover letter’ (max. 5 MB), Curriculum Vitae shall be uploaded under ‘Resume’ (max 5 MB). All other documents shall be uploaded under ‘Miscellaneous documents’ (max 10 files of max 50 MB per file). 

The application deadline is January 10, 2026, at 11.59 PM / 23.59 (CET/CEST) 

Contact information

Further information is available from Assoc. Prof. Mirabbos Hojamberdiev (mirabbos@mci.sdu.dk; Tel: +45 6550 7483 or Head of the Institute Prof. Dr. Horst-Günter Rubahn (rubahn@mci.sdu.dk). 

If you experience technical problems, please contact hcm-support@sdu.dk. 

Assessment and selection process

Applications will be assessed by an assessment committee. Shortlisting may be applied, and only shortlisted candidates will receive a written assessment. Read about shortlisting at SDU.  Interviews and tests may be part of the overall evaluation.

Read about the Assessment and selection process.  

Conditions of enrollment/employment

Appointment as a PhD fellow is a 3-year salaried position, and the monthly gross salary incl. pension is 36.581 DKK. If you have relevant postgraduate experience, you may be placed on a higher salary step.

Applicants must hold a master’s degree (equivalent to a Danish master's degree) at the time of enrollment and employment. Employment is contingent on enrollment approved by the PhD School. Enrollment will be in accordance with Faculty regulations and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order). Employment will be in accordance with the collective agreement between the Ministry of Finance and the Danish Confederation of Professional Associations for academics in the state with the associated circular on the job structure for academic staff at Danish universities and the provisions for PhD fellows as described herein as well as the Protocol on PhD fellows signed by the Danish Ministry of Finance and the Danish Confederation of Professional Associations (AC). Further information about salary and conditions of employment. The person employed in the position may, based on a specific individual managerial evaluation, be exempted from time registration, also known as a “self-organizer”.

-

The University of Southern Denmark wishes our staff to reflect the surrounding community and therefore encourages everyone, regardless of personal background, to apply for the position. SDU conducts research in critical technologies, which, due to the risk of unwanted knowledge transfer, are subject to a number of security measures. Therefore, based on information from open sources, background checks may be conducted on candidates for the position.

Further information for international applicants about entering and working in Denmark. You may also visit WorkinDenmark for additional information.

Further information about The Faculty of Engineering.

The Molecular Metabolism and Metabolomics group, Department of Bicohemistry and Molecular Biology, University of Southern Denmark, invites applications from talented candidates interested in exercise physiology, functional metabolomics and small-molecule signaling to join our team as a postdoctoral researcher. The position is for 2.5 years, available from January 1^st, 2026, or as soon as possible thereafter.

The successful applicant will join a vibrant research environment led by Prof. Nils J. Færgeman. The group currently consist of academic staff scientists, postdoctoral fellows, PhD students, and bachelor and master students. Our research focuses on understanding metabolic regulation and signaling at both molecular and systemic levels, aiming at unraveling how metabolism of nutrients and metabolites is controlled. 

This project aims to uncover how specific exercise-induced metabolites regulates systemic metabolism and their role in improving metabolic health in obesity and type 2 diabetes. The successful candidate will utilize LC/MS-based functional metabolomics, proteomics, cell-based functional studies, and advanced receptor screening and ligand-binding assays.

We Offer:

• 2.5-year postdoc position within a stimulating, supportive, and dynamic research environment.

• Opportunity for career development and expanding your scientific skill sets within project management, teaching, mentoring, research dissemination, networking, manuscript drafting etc.

• Engagement in cutting-edge research in an emerging area of metabolism, with high potential for discovery and future applications.

• Application of advanced methodologies within metabolomics and phosphoproteomics/proteomics, as well as advanced GCPR receptor ligand screening and second messenger assays.

• Involvement in translational research based on an advanced human intervention study, utilizing both in vivo animal models and in vitro cell-based systems.

• Opportunities for research exchanges to international and national collaborating institutions.

• Access to state-of-the art equipment, advanced workflows, and robust infrastructure. 

Key Responsibilities:

• Planning, executing, and managing wet-lab experiments and data analyses, including advanced biocomputational workflows.

• Supporting other projects within the group and mentoring students.

• The possibility to contribute to teaching and dissemination activities within the department.

• Manuscript writing and publishing high-impact papers.

• Presenting research findings at international conferences.

• Contribute to fostering a positive and motivating group environment as an active team member.

Qualifications:

• PhD in Molecular Biology, Biomedicine, Human Physiology, Computational Systems Biology or similar fields.

• Proven expertise in LC/MS based metabolomics and/or bioinformatic analyses of complex omics datasets.

• Prior experience in metabolic research involving humans, and/or experimental animals, and/or cell-based models. 

• Knowledge of exercise physiology and metabolic diseases, such as obesity and type 2 diabetes, is advantageous.

• Strong collaborative and communication skills, with the ability to work independently and within a team.

• Full professional proficiency in spoken and written English.

Application deadline: 1 December 2025 at 23:59 hours local Danish time

Please see the full call, including how to apply, on https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/da/sites/CX_1001/job/
3341/?utm_medium=jobshare

Center for Industrial Software, part of the Maersk Mc-Kinney Moller Institute, University of Southern Denmark, located in Sønderborg, invites applications for a 3-year PhD position, which will be vacant from January 1, 2026, or as soon as possible thereafter. 

The application deadline is November 24, 2025, at 11.59 PM / 23.59 (CET/CEST) 

Research environment

The Maersk Mc-Kinney Moller Institute is an internationally recognized institute in digital technologies. The institute is further growing it’s Center for Industrial Software research and education at its campus in Sønderborg with a vision of creating world class knowledge in valuable collaboration with industry providing a unique opportunity to be part of the center. The center is collaborating closely with other Centre’s at the campus including Centre for Industrial Electronics and Centre for Industrial Mechanics as well as with the industry, which counts world leading companies in growing fields such as e-mobility, automation, climate solutions and energy efficiency. Learn more about our institute at https://www.sdu.dk/en/mmmi and the centre at https://www.sdu.dk/cis. The Centre is autonomous but will collaborate closely with the Software Engineering section of the institute.

In our work we value teamwork, professional diligence, enthusiasm for technology and the drive to adopt new skills and extended responsibilities. We offer an open, international team with flexible work organization and support of individual development. The Centre is involved in a variety of national and European projects and features a strong network of academic and industrial partners. We solve challenging research problems from real applications and implement novel software solutions together with end users such as Universal Robots, Terma, LEGO, Danfoss, and Novo Nordisk.

Project description 

The PhD project is setup in the context of supporting the research activities within RECOVER project (REsilience of COastal Vital Ecosystems through innovative management solutions in the Danish-German border Region). The RECOVER project aims to improve water quality in the western Baltic Sea and increase its resilience to environmental stresses. The project will develop a digital twin model of the southwestern Baltic Sea that can be used to simulate climate scenarios and test various management measures. The work will utilize both local and cloud-based computational resources at the University of Southern Denmark (SDU). This project offers an excellent opportunity to contribute to cutting-edge AI-based Digital Twin modeling research within an interdisciplinary research team. 

The PhD candidate will be responsible to:

• Define data modeling requirements for the datasets in the project and apply FAIR principles. 

• Review existing data sources, set quality standards, and create metadata protocols to ensure consistent, reliable input for AI models.

• Design machine learning workflows to interpret large datasets, efficiently select algorithms, train and validate models, and integrate feedback loops to improve accuracy. 

• Create AI-based Digital Twin models to perform scenario testing, monitor and forecast environmental changes, test hypothetical scenarios, and provide actionable insights.

• Transform model outputs into accessible insights and validate predictions by developing a visualization tool to display results through dashboards, maps, and interactive features.

Profile and requirements

The candidate will participate in research and teaching activities within the areas of software and artificial intelligence. The position requires a master’s degree within a relevant area (e.g. software or computer science) and the desired candidate is expected to have knowledge within relevant areas, e.g. within software technologies for programmer support, hardware set up, data modeling and data management.

Furthermore, the successful candidate is expected to:

• Have good knowledge of English (written and spoken).

• Have high self-motivation to learn. 

• Be able to work well and communicate expert knowledge in an interdisciplinary team.

• Have the ability of working independently.

• Have a strong sense of responsibility.

Further information

Please visit us on our website: https://www.sdu.dk/en/forskning/sdusoftwareengineering

Further information about this position is available via email from Associate Professor Serkan Ayvaz (seay@mmmi.sdu.dk).

If you experience technical problems, please contact hcm-support@sdu.dk. 

Application procedure

Before applying the candidates are advised to read the Faculty information for prospective PhD students and the SDU information on how to apply.

Assessment of the candidates is based on the application material, and an application must include: 

• Motivated application. 

• Curriculum Vitae.

• Master’s and bachelor’s degree certificates or equivalent, including transcripts of grades (copy of original/official English translation).  

• Completed TEK PhD application form for 5+3 applicants. Find the form at the Faculty website.

• Completed TEK PhD form for calculation grade point average. Find the form at the Faculty website. 

• An official document describing the grading scheme of the awarding universities (if not Danish). 

• Only for applicants from programmes that evaluate thesis/examination project by approved/not approved: An official written assessment of the thesis or dissertation project from the grade giving institution. The statement must clearly state that the candidate has been among the top 30 pct. in the graduation class for the study programme.

• List of publications and maximum 2 examples of relevant publications (in case you have any publications).

• References may be included, you're welcome to use the form for reference letter at the Faculty website.

• A statement/documentation of other qualifications relevant to the position may also be included.

SUBMISSION GUIDE: Motivated application (max. 5 MB), Curriculum Vitae (max 5 MB) shall be uploaded in their relevant box. All other documents shall be uploaded under ‘Miscellaneous documents’ (max 10 files of max 50 MB per file

All documents must be in English and PDF format. CPR number (civil registration no.) must be crossed out. All PDF-files must be unlocked and allow binding and may not be password protected.

The application deadline is November 24, 2025, at 11.59 PM / 23.59 (CET/CEST) 

Assessment and selection process

Applications will be assessed by an assessment committee. Shortlisting may be applied, and only shortlisted candidates will receive a written assessment. Read about shortlisting at SDU.  Interviews and tests may be part of the overall evaluation.

Read about the Assessment and selection process.  

Conditions of enrollment/employment

Appointment as a PhD fellow is a 3-year salaried position, and the monthly gross salary incl. pension is 36.138 DKK. If you have relevant postgraduate experience, you may be placed on a higher salary step. The preferred start date is from January 1, 2026, and will be agreed with the successful candidate.

Applicants must hold a master’s degree (equivalent to a Danish master's degree) at the time of enrollment and employment. Employment is contingent on enrollment approved by the PhD School. Enrollment will be in accordance with Faculty regulations and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order). Employment will be in accordance with the collective agreement between the Ministry of Finance and the Danish Confederation of Professional Associations for academics in the state with the associated circular on the job structure for academic staff at Danish universities and the provisions for PhD fellows as described herein as well as the Protocol on PhD fellows signed by the Danish Ministry of Finance and the Danish Confederation of Professional Associations (AC). Further information about salary and conditions of employment. The person employed in the position may, based on a specific individual managerial evaluation, be exempted from time registration, also known as a “self-organizer”.

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The University of Southern Denmark wishes our staff to reflect the surrounding community and therefore encourages everyone, regardless of personal background, to apply for the position. SDU conducts research in critical technologies, which, due to the risk of unwanted knowledge transfer, are subject to a number of security measures. Therefore, based on information from open sources, background checks may be conducted on candidates for the position.

Further information for international applicants about entering and working in Denmark. You may also visit WorkinDenmark for additional information.

Further information about The Faculty of Engineering.

SØNDERBORG:

SDU Sønderborg is located in scenic and historic surroundings with views to both Alssund and Sønderborg Castle. The university's more than 1,000 students are just a short walk from the city centre, water, beach and forest. SDU Sønderborg is part of the impressive and state-of-the-art building Alsion which, besides the university, houses Videnspark Alsion, Business Academy Southwest, a concert hall and the South Denmark Philharmonic, providing outstanding opportunities for expanding cooperation between universities, business and culture.

Applications are invited for two postdoc positions with SDU Health Informatics and Technology (HIT), The Maersk Mc-Kinney Moller Institute (MMMI), University of Southern Denmark (SDU), Odense. Both positions are for 2 years with the possibility of extension depending on possible additional funding. The positions will be part of two externally funded projects, WISDOM and CHOICE. The planned starting date for the positions is January 15, 2026, or soon thereafter.

Research projects

WISDOM (funded by Horizon Europe; 2023-2028) is led by the Karolinska Institute in Sweden and has partners from 10 different European countries. SDU HITs role in WISDOM is development and implementation of responsible state-of-the-art artificial intelligence mediated models and decision support systems for chronic immune-mediated diseases (in particular, multiple sclerosis). (https://wisdomhorizon.eu/).

CHOICE (funded by NordForsk; 2025-2029) is led by Odense University Hospital in Denmark and has partners in Denmark, Norway, and Sweden. SDU HITs role in CHOICE is adaptation and implementation of responsible state-of-the-art artificial intelligence mediated models and decision support systems for identification of people at risk of osteoporosis. (https://www.nordforsk.org/projects/continuous-healthcare-osteoporosis-case-finding-choice).

Postdoc positions

Both postdoc positions will focus on development and implementation of AI-based decision support in clinical practice using a co-design methodology.

In relation to WISDOM, the goal is to develop and evaluate a demonstrator (TRL 5-6) that supports selected use cases related to shared decision making by patients and health care professionals in multiple sclerosis management.

In relation to CHOICE, the goal is to develop and evaluate a decision support system (TRL 8-9) that is integrated with the general practitioner´s electronic health record system XMO from CompuGroup Medical.

Both postdoc positions will contribute to each project and will require close collaboration between the selected candidates as well as project members from WISDOM and CHOICE.

Ideal candidates

To qualify for the postdoc positions, you must hold a Ph.D. degree in software engineering, artificial intelligence, computer science, or a related discipline.

The ideal candidates will have many of the following competences.

• software engineering experience (full stack development)

• artificial intelligence experience (including explainability and interpretability)

• experience in interdisciplinary work

• experience in working with external stakeholders and domain experts (i.e., using the co-design method)

• experience in development of AI-augmented decision support tools

• experience in UI and UX design

• knowledge of the health domain

We envision hiring postdocs with different profiles that in combination possess the listed competences. Profile 1 will be mostly software engineering oriented, while Profile 2 will be mostly artificial intelligence and decision support oriented.

About MMMI and SDU HIT

MMMI is an internationally recognized research department that conducts research within robotics, drone technology, artificial intelligence, I4.0, software engineering as well as health and energy informatics. 

SDU HIT conducts interdisciplinary research related to data driven health technology in close collaboration with experts from various fields. There is a strong emphasis on the development of high TRL systems related to intelligent monitoring and decision support; predictive models for prevention, early detection, diagnosis, treatment, and prognosis; digital health systems offering novel personalized data collection, treatment plans and interventions. SDU HIT has research activities in areas such as geriatrics, mental health, compassion, cancer, cardiology, osteoporosis, and multiple sclerosis.

Additional information

For further information about the positions, please contact Professor Uffe Kock Wiil, phone +45 6011 3565, email ukwiil@mmmi.sdu.dk.

If you experience technical problems, please contact hcm-support@sdu.dk. 

Application

Applicants are advised to read the SDU information on how to apply.

Assessment of the candidates is based on the application material, and an application must include: 

• Motivated application describing previously relevant project (max. 2 pages)

• Curriculum Vitae (max. 2 pages)

• Complete list of publications

• Publications most relevant to the position

• Master’s and PhD degree certificates or equivalent (copy of original/official English translation). 

• Summary and documentation of experience in teaching, if relevant to the position 

• A research statement may be included

• References/reference letters may also be included (max. 3)

• A statement/documentation of other qualifications relevant to the position may also be included

SUBMISSION GUIDE: Motivated application (max. 5 MB), Curriculum Vitae (max 5 MB) shall be uploaded in the relevant box. All other documents shall be uploaded under ‘Miscellaneous documents’ (max 10 files of max 50 MB per file). 

All documents must be in English and PDF format. CPR number (civil registration no.) must be crossed out. All PDF-files must be unlocked and allow binding and may not be password protected.

The application deadline is November 30, 2025, at 11.59 PM/23.59 (CET/CEST) 

Assessment and selection process

Applications will be assessed by an assessment committee. Shortlisting may be applied, and only shortlisted candidates will receive a written assessment. Read about shortlisting at SDU.  Interviews and tests may be part of the overall evaluation.

Read about the Assessment and selection process.  

Conditions of employment

Appointment as postdoc is temporary for an initial 2-year period, and the preferred start date is from January 15, 2025. Extension may be possible depending on available funding. Employment as a postdoc requires scientific qualifications at PhD level at the time of employment. Employment will be in accordance with the collective agreement between the Ministry of Finance and the Danish Confederation of Professional Associations for academics in the state with the associated circular on the protocol for the job structure for academic staff at Danish universities and the provisions for postdoc as described herein. Further information on salary and taxation. The person employed in the position may, based on a specific individual managerial evaluation, be exempted from time registration, also known as a “self-organizer”.

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The University of Southern Denmark wishes our staff to reflect the surrounding community and therefore encourages everyone, regardless of personal background, to apply for the position. SDU conducts research in critical technologies, which, due to the risk of unwanted knowledge transfer, are subject to a number of security measures. Therefore, based on information from open sources, background checks may be conducted on candidates for the position.

Further information for international applicants about entering and working in Denmark. You may also visit WorkinDenmark for additional information.

Further information about The Faculty of Engineering.

Declaration of Interest regarding PhD project at the Research Unit of Obstetrics and Gynecology, Department of Clinical Research, University of Southern Denmark (SDU)

A full-time, three-year PhD position is available within the FEMME project (FErtility and Medically assisted reproduction: Mapping women’s short- and long-term health Effects) at the Research Unit of Obstetrics and Gynecology, Department of Clinical Research, University of Southern Denmark (SDU), from 1 March 2026.

Research environment

The PhD position is part of the FEMME project funded by the Independent Research Fund Denmark.

The position is hosted within the Research Unit of Obstetrics and Gynecology, SDU, and conducted in close collaboration with the Department of Clinical Pharmacology, Pharmacy and Environmental Medicine (CPPEM) and the Danish Cancer Society.

The PhD student will join an interdisciplinary and engaged research environment with expertise in reproductive epidemiology, pharmacoepidemiology, and women’s health. We combine clinical perspectives with advanced population-based research using nationwide health data to address key questions about women’s health across the life course. Our group is collaborative, international, and dedicated to high scientific standards, while maintaining an open and informal atmosphere. We value curiosity, teamwork, and mutual support, and we take pride in creating a space where young researchers can develop their skills and thrive both scientifically and personally.

In daily work, the PhD student will report to associate professor Mette Bliddal and assistant professor Noémie Roland, but he/she will also be expected to contribute to the whole research unit.

Project description

The FEMME project seeks to investigate women’s somatic and mental health following fertility treatment. Within this framework, the PhD project presented here forms part of Work Package 1 (WP1), which focuses on women’s cardiovascular health after medically assisted reproduction (MAR).

Specifically, the PhD project aims to improve understanding of the short- and long-term cardiovascular effects in women of cumulative infertility treatments including those who did not achieve pregnancy, using nationwide health and population registers from Denmark and Norway. The project will explore the occurrence of major cardiovascular events in women undergoing MAR and examine how treatment characteristics influence women’s cardiovascular health.

The PhD candidate will work closely with an experienced multidisciplinary supervisory team and will have access to strong data infrastructures and relevant courses in epidemiology and statistics.

Qualifications

We are seeking a motivated and ambitious candidate with:

·         A Master’s degree (MD, MSc, or equivalent) in Public Health, Medicine, Pharmacy, Epidemiology, or a related discipline

·         Strong interest in epidemiological methods, data analysis, and coding (e.g., R, Stata, or similar)

·         Interest in women’s health, fertility treatment, and population-based research

·         Ability to work independently and collaboratively within a multidisciplinary team

·         Excellent communication skills and proficiency in written and spoken English

Prior experience with register-based research is an advantage, but not required.

For further information about the position, please contact:

Mette Bliddal

Department of Clinical Research

University of Southern Denmark (SDU)

E-mail: mbliddal@health.sdu.dk

Applications must include:

• At letter stating the interest, motivation and qualifications for the project (max. 2 pages) - upload under “Application form”.
• Detailed CV, including personal contact information
• Certified copy of diploma (Master’s degree in a relevant field)

Shortlisting may be used in the assessment process.

Interviews can be performed online if needed but physical interviews are preferred.

Further information about the PhD-study can be found on the website of the University.

Applications must be submitted electronically using the link "Apply now". Attached files must be in Adobe PDF format. We strongly recommend that you read How to apply for a job at SDU | Step-by-step guide - SDU before you apply.

Incomplete applications and applications received after the deadline will neither be considered nor evaluated. This also applies to reference letters.

Closing date 30 November 2025

Successful candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students.

The PhD programme will be carried out in accordance with Faculty regulations and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order)

The terms of employment as a salaried PhD Research Fellow are stated in the Agreement between the Ministry of Finance and the Danish Confederation of Professional Associations (AC).

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

The Department of Mathematics and Computer Science at the University of Southern Denmark (campus Vejle) invites applications for both tenure-track Assistant Professors and Associate Professors in Computer Science, with emphasis on Sustainable and AI-driven Software Engineering. The targeted starting period is autumn 2026, with room for flexibility.

Hired candidates will join the Sustainable and AI-Driven Software Engineering Group (Sustain-AI) at the new SDU Centre for Computer Science and Artificial Intelligence in Campus Vejle. The Sustain-AI is part of the Section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP).

We encourage applications from researchers that can complement or strengthen the competences of the group. Examples of interesting research areas include, but are not limited to:

• Sustainable and AI-Driven Software Engineering.

• Software Engineering, including empirical software engineering and Software
  -  Architecture, software quality assurance.

• Cloud computing, edge computing, and Internet of Things, including software and operation techniques such as microservices, serverless and web technologies.

• LLM-assisted Software Engineering.

• System programming, including embedded systems, programming of critical software and infrastructure, high-performance computing, and distributed systems.

• Model-driven Software Engineering

• Cybersecurity, including security by design, blockchain, human factors in security, programming principles for security, and cryptography.

The Section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP) and the SustainAI — Sustainable and AI-Driven Software Engineering Group — is an ambitious cluster of researchers that fosters collaboration, research excellence, and quality education. We offer ample opportunities for collaboration, personal growth, and mentoring for starting independent research groups. 

The section’s current research covers a wide range of areas and topics that include symbolic AI and formal methods (logic, theorem provers, type systems, categories, etc.), concurrent programming languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops, software engineering (software product lines), human factors in security and privacy, post-quantum and embedded cryptography, and quantum programming languages. We are looking for new colleagues who can strengthen or add to our competences.  We encourage interested candidates to explore the section’s website at https://acp.sdu.dk/ and the SustainAI group’s website https://sustainai.sdu.dk for more information.

The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are 

• Algorithms

• Computational Science

• Data Science and Statistics 

• Geometry, Topology and Algebra

• Learning Experience Design

Our department offers an inclusive and international working environment with state-of-the-art facilities and strong traditions for collaboration across research groups, departments and faculties, and with other organisations like educational institutions, municipalities, and companies. The degrees offered by the department include BSc and MSc degrees in Computer Science, a BSc degree in Artificial Intelligence, and an MSc degree in Data Science. More information about the department can be found at https://imada.sdu.dk/.

The University of Southern Denmark (SDU) was founded in 1966 and now has more than 27.000 students, almost 20% of whom are from abroad. It has 3,800+ employees, and 115 different study programs in the fields of the humanities, social sciences, natural sciences, health sciences, and engineering. Its main campus is located in Odense and is complemented by modern campuses in Kolding, Esbjerg, Sønderborg and, most recently, Vejle. Each campus contributes to SDU’s strong regional presence and close collaboration with businesses, public institutions, and local communities.

Discover more about SDU’s newest addition, the Vejle campus, at www.sdu.dk/en/vejle.

Who we are looking for

An ideal candidate:

• holds a PhD degree in computer science or equivalent;

• has a research track record at a high international level, reflecting the academic age of the applicant;

• can teach and advise in computer science at all levels.

Fluency in English is required. Knowledge of Danish is not a requirement: more English than Danish is used when teaching in computer science, and more than half of the faculty members in computer science have international backgrounds. Successful applicants will be offered Danish courses by the municipality.

The position offers very competitive salaries and possibilities for startup packages. It also provides access to the university-level PhD programme in Computer Science.

Tenure-Track Assistant Professor Positions

For the tenure-track assistant professor positions, applications from promising early-career talents are highly encouraged. The Danish tenure-track employment is a focused assistant professorship with a guaranteed assessment for a position as tenured associate professor: before the end of the sixth year of employment and contingent on a positive academic assessment, the assistant professor will transit into a permanent (tenured) position as associate professor. A tenure-track assistant professor can request assessment for tenure earlier. If this assessment is negative, the assistant professor can request a second assessment within the final six months of employment.

Please see the full call, including how to apply, on www.sdu.dk