The Department of Biology, Faculty of Science at the University of Southern Denmark invites applications for a 3-year position as a Ph.D. The position is in the Ecotoxicology group at the Department of Biology. The group has more than 30 years of experience in basic and applied ecotoxicology research focused on endocrine disrupting chemicals, metals, and plastic particles. The Ecotoxicology group has strong long-standing collaborations with the Danish Environmental Protection Agency, national and international research groups, the EU, and the OECD in relation to the development of international test systems that reveal possible endocrine disrupting effects of chemicals in model organisms, for example, fish and invertebrates.

Research project: The objective of the project is to investigate and pre-validate new endpoints in zebrafish sensitive to, or diagnostic of, endocrine disruption caused by chemicals. The expected tasks include exposure of zebrafish to suspected and known endocrine disruption chemicals (EDCs) and evaluation of a range of potential biomarkers and endpoints not yet validated in fish. Eleutheroembryo life stages (currently regarded as non-protected New Approach Methodologies (NAMs) in the EU), will be compared to later protected life-stages. Methods include detailed organ histopathology, advanced imaging and spectroscopy, gene expression profiling, behavioral analysis, immunohistochemistry etc. The effects in zebrafish will be analyzed for potential extrapolation to other vertebrate classes, including mammals (humans), in a One Health approach by use of Adverse Outcome Pathways (AOPs) and AOP networks.

The project will be funded by PARC (EU, Partnership for the Assessment of Risks from Chemicals) and linked to activities in other ongoing projects in the Ecotoxicology group, including NeXED (Network for Cross-disciplinary assessment of Endocrine Disrupting compounds, a Marie Skłodowska-Curie Actions (MSCA) Doctoral Network), DK EPA test guideline development project, and CeHOS (Danish Center on Endocrine Disruptors). 

Qualifications: The successful candidate must have an MSc degree in biology or equivalent, and a background in environmental toxicology. The following experiences and skills are required: 
•    Strong proficiency in English, both written and verbal
•    Experience with endocrine-disrupting chemicals and their mechanisms of action 
•    Experimental experience with zebrafish as a model organism 
•    Proficiency in laboratory techniques, including OECD fish test protocols, histopathology analysis, and behavior analysis. 
 

It is an advantage if the candidate has experience in statistical analysis (e.g., using R), has experience in conducting literature reviews, know and understands the concept of Adverse Outcome Pathways (AOPs) in toxicology.
 

We are looking for a highly motivated candidate with strong analytical and problem-solving skills and the ability to work independently and as part of a team.
 

The position will start as soon as possible and no later than November 2026.

Read more here

SDU Center for Energy Informatics, University of Southern Denmark

The SDU Center for Energy Informatics invites applications for several PhD positions within the field of Energy Informatics. The positions are available for a three-year period.

The SDU Center for Energy Informatics is a leading interdisciplinary research centre dedicated to advancing digital technologies for the green transition of the energy sector. The centre conducts research at the intersection of energy systems, artificial intelligence, software engineering, and data intensive methods, with a strong focus on real world impact through collaboration with industry, utilities, and public stakeholders.

Research themes

The PhD positions are embedded in ongoing national and international research projects and will focus on the following two themes:

#1 Next-Generation Digital Twins for Intelligent Heating and Cooling Optimization in Buildings

This PhD theme focuses on the development of next-generation AI-driven Digital Twin technologies for intelligent heating and cooling optimization in buildings. The positions will contribute to the design, implementation, and validation of scalable Digital Twin platforms that integrate real-time building data, advanced machine learning models, and predictive management strategies. Applications will be demonstrated in real operational environments, enabling improved energy efficiency, reduced carbon emissions, and enhanced indoor environmental quality in complex building systems.

#2 Predictive Maintenance and Asset Management of Smart Energy Networks

This PhD theme addresses the use of artificial intelligence, data-driven modelling, and advanced analytics to improve the reliability and operation of smart energy networks, including smart grids and district heating networks. The positions will focus on developing methods for condition monitoring, fault prediction, risk assessment, and maintenance planning by combining diverse data sources such as sensor measurements, operational data, inspection records, and asset information. The research will support more informed and proactive asset management decisions in real energy infrastructures, contributing to higher system reliability, reduced maintenance costs, better use of energy-related assets, and a more resilient energy system.

The exact research topic will be defined jointly with the successful candidate, taking into account project needs, academic background, and research interests.

PhD position and research environment

As a PhD student at the SDU Center for Energy Informatics, you will conduct independent research under the supervision of senior researchers, contribute to high quality scientific publications, and participate actively in a dynamic and collaborative research environment. The position includes opportunities for participation in conferences, journal publications, and close collaboration with industrial and public sector partners.

The PhD programme is structured according to the Danish PhD framework and includes coursework, dissemination activities, and teaching or knowledge dissemination duties corresponding to approximately 840 working hours over the three-year period.

Required qualifications

Applicants are expected to hold a master’s degree in computer science, software engineering, energy engineering, electrical engineering, building services, or a closely related field by the time of enrolment.

The successful candidate should demonstrate the following qualifications and competences:

• A solid academic foundation in data analysis, machine learning, optimisation, system modelling, or related quantitative methods, as acquired through master’s level coursework and project work.

• Familiarity with data driven modelling approaches relevant to smart grid, district heating, HVAC systems, or smart buildings, such as regression, classification, time series analysis, or basic predictive modelling.

• Experience with data handling, including data cleaning, transformation, exploratory analysis, and basic feature engineering.

• Experience with Python or a similar programming language, and basic exposure to scientific computing or machine learning libraries, combined with an interest in developing robust, research oriented software implementations.

• Familiarity with AI techniques is required, while experience with multimodal data analysis, large language models (LLMs), and the application of modern AI models in energy and industrial contexts is considered an advantage. Awareness of reliability, interpretability, and responsible AI use is also desirable.

• Strong analytical skills, intellectual curiosity, and the ability to work both independently and collaboratively in interdisciplinary research settings.

Contact information

For further information about the PhD positions or the SDU Center for Energy Informatics, please visit
https://www.sdu.dk/en/energyinformatics

Informal enquiries may be directed to

Professor Bo Nørregaard Jørgensen

Head of Center, SDU Center for Energy Informatics

Email: bnj@mmmi.sdu.dk

The SDU Center for Energy Informatics looks forward to receiving applications from highly motivated candidates who wish to contribute to research at the forefront of digitalisation and the green energy transition.

If you experience technical problems, please contact our email support.

Application

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

• Curriculum Vitae.

• A brief statement of research interests and motivation, including a clear indication of whether the applicant is applying for Theme 1 or Theme 2.

• Documentation of academic qualifications, including Master’s and Bachelor’s degree certificates or equivalent, including transcripts of grades (original and an official English translation). 

• Two letters of recommendation.

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

• 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.

All documents must be in English and PDF format. CPR number (civil registration number) must be crossed out. All PDF-files must be unlocked, allow binding and may not be password protected. 

SUBMISSION GUIDE: Motivated application must be uploaded under ‘Cover letter’ (max. 5 MB), Curriculum Vitae must be uploaded under ‘Resume’ (max 5 MB). All other documents must be uploaded under ‘Miscellaneous documents’ (max 10 files with a maximum 50 MB per file). 

The application deadline is August 20, 2026, at 11:59 PM/23:59 (CET/CEST) 

Assessment and selection process

Applications will be assessed by an expert. 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.  

Enrollment and employment terms

Appointment as a PhD fellow is a 3-year salaried position, and the monthly gross salary incl. pension is 37.075 DKK. If you have relevant postgraduate experience, you may be placed on a higher salary step.

The start date will be agreed with the successful candidates. The position includes social benefits and pension contributions.

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 including the associated circular on the job structure for academic staff at Danish universities and the provisions for PhD fellows as described therein as well as the Protocol on PhD fellows signed by the Danish Ministry of Finance and the Danish Confederation of Professional Associations (AC). 

Salary is determined in accordance with the applicable collective agreement and based on objective and gender-neutral criteria, including the content of the position, responsibilities, and qualification requirements. As an applicant, you are entitled to information about the starting salary and salary range for the position. This information will be provided during the recruitment process. SDU does not collect information on applicants’ previous salary. Further information on salary and taxation. 

Persons employed in the position may, based on a specific individual managerial assessment, be exempted from time registration, also known as a “self-organizer”.

-

The University of Southern Denmark wishes its 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, is subject to a number of security measures. Therefore, based on information from open sources, background checks may be conducted on candidates for the position(s).

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 Astroparticle and Dark Matter group at the Center for Cosmology and Particle Physics Phenomenology (CP3) at the Department of Physics, Chemistry and Pharmacy at the University of Southern Denmark (SDU) invites applications for a PhD position in detector development for the next generation of cryogenic dark-matter axion experiments. 

The successful candidate will contribute to the characterization and development of resonators and cavities for the Fabry-Pérot Axion Experiment (FAxE) and the Relic Axion Detector Exploratory Setup (RADES). In particular, the candidate will study superconducting cavity and mirror coatings to boost the experimental sensitivity. Moreover, development of the read-out system and data acquisition is planned. The candidate will participate in first data taking campaigns for both experiments. For RADES, these are foreseen in 2028 / 2029 and will require shift work and non-standard working hours. 

The project is carried out within the framework of the CERN Lighthouse Consortium aiming to strengthen collaborative research activities between Denmark and CERN. The successful candidate will be enrolled as a PhD student at the Graduate School for Natural Sciences at SDU and the doctoral program at CERN, and will have access to experimental facilities at both institutions. The position includes a mobility component of up to two years at CERN, undertaken within CERN's Technology Department. CERN, the European Organization for Nuclear Research, is one of the world's leading laboratories for particle physics. Located on the Franco-Swiss border near Geneva, it operates some of the largest and most complex scientific instruments in the world, and provides a unique and stimulating environment for students and researchers from across the globe. 

Our group at CP3 provides hands-on access to state-of-the-art cryogenic facilities and is embedded in a vibrant and interdisciplinary research environment at SDU, with close ties to leading groups in light–matter interactions and nanophotonics, as well as to theoretical physicists in the Department of Mathematics and Computer Science. 

Essential qualifications include 

• a strong motivation for fundamental research

• a solid background in particle physics

• experience with RF components. 

Experience in cryogenics, superconductivity, data analysis, programming, and working in international research teams or collaborations will be considered an advantage. 

To read more about the PhD program at the Department of Physics, Chemistry and Pharmacy, read more here. 

Natural Science Research – Interdisciplinary Strength
The Department of Physics, Chemistry and Pharmacy is one of four departments at the Faculty of Science, SDU and is located in Odense. At the Department, we contribute to solving some of society’s greatest challenges within energy, environment, health, and sustainability. We succeed because we build bridges between disciplines and transcend traditional boundaries. Our interdisciplinary mindset is not only a fundamental condition, but also our strength. And it is a strength that ensures our research and education are recognized both nationally and internationally.

Our vision is to create and apply knowledge across the natural sciences. We are unique in housing research within physics, chemistry, and pharmacy under one department, which provides excellent opportunities to explore the intersections between these disciplines. Read more about our vision here.

Application deadline: 31. July 2026 at 23:59 hours local Danish time

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

The Centre for Formal Methods and Future Computing (FORM) at the Department of Mathematics and Computer Science, University of Southern Denmark (SDU, Campus Odense or Vejle) invites applications for 3-year PhD positions in computer science with emphasis on formal methods. Possible topics include (but are not limited to) computational complexity, distributed systems, human factors, logic, programming languages, and security. The targeted starting period is late autumn 2026, with room for flexibility. 

The application requirements are detailed at the end of this advertisement. 

About FORM 
FORM pursues the formalisation of computing in an open access, universal repository. Our vision is to unlock the combined potential of humans and artificial intelligence (AI) for the rapid and reliable construction of digital systems guided by rigorous mathematical foundations. Towards which, our current main instrument is the Computer Science Library (CSLib) in the Lean programming technology. CSLib is a global initiative carried out in collaboration with stakeholders around the world, and FORM is a key founding player in CSLib’s steering and technical leadership. 

Whom we are looking for 
The ideal candidate has an MSc in Computer Science and is interested in theory, development, or usage of formal methods. 

Fluency in English is required. 

Hosting environment 
FORM is embedded in the Section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an elite cluster of research groups that fosters collaboration, research excellence, and quality education. FORM and ACP offer ample opportunities for collaboration, personal growth, and mentoring. 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. 

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, the third largest city in Denmark. Odense provides family-friendly living conditions, with the perfect combination of a historic city centre with an urban and vibrant feel and yet close proximity to beaches and recreational areas. Its location on the island of Funen is ideal with easy access to the larger cities and airports in Aarhus and Copenhagen. 

Conditions of employment 
Appointment as a PhD fellow is a 3-year salaried position. 

Employment of a PhD fellow can only happen after the PhD School has approved the candidate for admission.  

Employment as a PhD fellow is governed by 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).  

The person employed in the position may, based on a specific individual managerial assessment, be exempted from time registration, also known as a self-organiser. 

Application deadline is 16 August 2026. We are not permitted to directly contact your academic references under any circumstances, so please ensure their letters have reached us by the deadline. 

We recommend that as an international applicant, you take the time to visit Work in Denmark where you will find information and facts about moving to, working and living in Denmark, as well as the International Staff Office at SDU.

Read more here

The Biotechnology section at the Department of Green Technology, Faculty of Engineering, University of Southern Denmark invites applications for a 3-year PhD position in immunomodulatory biomaterials starting September 1, 2026, or as soon as possible thereafter, according to mutual agreement. The position is embedded within an ERC Starting Grant project DeCodeGels focused on De-Coding Adhesion, Degradation and Immunomodulation Properties of Self-Assembling Peptide Hydrogels for Programmed Tendon Regeneration (https://cordis.europa.eu/project/id/101219936).

Project description

This project aims to develop new injectable self-assembling peptides (SAPs) biomaterials that simultaneously: i) possess improved adhesion to local tissues in vivo, ii) exhibit controlled degradation matching the desired regeneration outcome, and iii) allow tissue regeneration by enabling controlled immune cells invasion and progression of inflammation from neighbouring tissues. Following injury, inflammation is the trigger of tissue repair, however, chronic inflammation is detrimental. The persistent inflammatory nature of tendinopathy contributes to localized tissue damage, often developing to a low-grade chronic inflammation with recurring tears. The main goal of this position is development of an innovative therapeutic strategy utilizing temporally modulating SAPs biomaterials to guide healthy regeneration of tendon tissues via modulation of macrophage response.

The successful candidate will work at the interface of:

• Innate immunity with a strong focus on understanding biology of macrophage cells

• Physical chemistry and biomedical engineering of self-assembling peptide biomaterials 

• Functional validation in in vitro stromal cells (tenocytes, fibroblasts, etc.), in lab-on-chip devices, and in ex vivo tissue models 

Responsibilities

• Design, evaluate and characterize new injectable self-assembling peptide biomaterials 

• Investigate biological pathways of macrophage polarization via functional assays (PCR, ELISAs, flow cytometry) and involvement in larger omics analysis (transcriptomics, proteomics and/or metabolomics)

• Evaluate enzymatic degradation pathways of peptides and the biological role of their fragments in immune signalling (including mass spectrometry and functional assays)

• Utilize advanced imaging techniques to analyse peptide-macrophage interactions (light and/or electron based) 

• Contributing to B.Sc./M.Sc. student supervision, teaching and collaborative projects 

Essential qualifications

• MSc degree in physical chemistry, molecular biology, biotechnology, biochemistry, nanotechnology, biomedicine, immunology, or related fields

• Interest or hands-on experience with designing or characterization of self-assembling peptides or proteins

• Experience with physical chemistry lab 

• Hands-on experience with mammalian cell culture

• Strong English communication skills (written and spoken)

• Highly motivated, structured, and able to work both independently and in teams

Desirable qualifications (strong advantage)

• Background in immunology; macrophage cells, peptide or protein design with experience with macrophages or immune cell culture 

• Familiarity with either biomaterials characterization (e.g. formulation of hydrogels, rheology, titrations, HPLC, mass spectroscopy, scattering techniques, microscopy, mechanical testing, molecular adhesion testing, or similar) and/or characterization of mammalian cells (e.g. confocal microscopy, staining, ELISAs, flow cytometry, PCR, or similar)

Requirements to complete a PhD at SDU

• Complete a study programme of 30 ECTS points 

• Participate in teaching and dissemination activities (e.g. conferences) corresponding to approx. one semester of full-time employment

• Carry out at least one short external research stay (multiple possibilities will be offered at collaborators spanning European countries) 

• Complete a PhD thesis. According to the rules for a PhD thesis at the Faculty of Engineering at SDU the thesis must include internationally scientific peer-reviewed articles

• Publicly defend your PhD thesis

Further information is available from Associate Professor Jacek Wychowaniec, temporary email address: jacek.wychowaniec@univ-nantes.fr

or head of section, Associate Professor Eva Arnspang Christensen, e-mail: arnspang@igt.sdu.dk 

If you experience technical problems, please contact our email support.

Application

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

• Motivated application. 

• Curriculum Vitae.

• Master’s and Bachelor’s degree certificates or equivalent, including transcripts of grades (original and an 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.

All documents must be in English and PDF format. CPR number (civil registration number) must be crossed out. All PDF-files must be unlocked, allow binding and may not be password protected. 

SUBMISSION GUIDE: Motivated application must be uploaded under ‘Cover letter’ (max. 5 MB), Curriculum Vitae must be uploaded under ‘Resume’ (max 5 MB). All other documents must be uploaded under ‘Miscellaneous documents’ (max 10 files with a maximum 50 MB per file). 

The application deadline is July 31, 2026, 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.  

Expected online interviews in August.

Conditions of enrollment/employment

Appointment as a PhD fellow is a 3-year salaried position, and the monthly gross salary incl. pension is 37.075 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 including the associated circular on the job structure for academic staff at Danish universities and the provisions for PhD fellows as described therein 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. Persons employed in the position may, based on a specific individual managerial assessment, be exempted from time registration, also known as a “self-organizer”.

-

The University of Southern Denmark wishes its 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, is subject to a number of security measures. Therefore, based on information from open sources, background checks may be conducted on candidates for the position(s).

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.

SDU Robotics, part of the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), invites applications for one or more 3-year PhD positions, where the candidate will work on manipulation of flexible objects using industrial robots via demonstration-initialized reinforcement learning. The starting date will be agreed with the successful candidate. The workplace is at SDU's main campus in Odense, Denmark, and the work is expected to be primarily onsite.

What we offer

• An exciting opportunity to work at the cutting edge of robotics for real-world applications.

• A collaborative and supportive work environment that encourages innovation and creativity.

• Opportunities for professional growth and leadership.

• Access to state-of-the-art technology and resources.

Project description
We are currently extending our team working on the MADE REACT project which focus on challenges within the design of robot solution for resilient high-mix low-volume manufacturing. 

The aim of this PhD project is to enable fast setup of robot manipulators to complete advanced manufacturing tasks by the use of digital models. This should be accomplished using methods such as reinforcement learning that should be initialized with information from human demonstrations. The developed method should be applied to the manipulation of flexible objects based on both visual and tactile information. The candidate will be responsible for developing detailed simulation models of both robots, sensors, and components to be assembled. In addition, the candidate should develop robust manipulation strategies and implement these in a real robot system.

 

Profile and requirements
The candidate will participate in SDU Robotics’ comprehensive research and teaching activities within the area of robotics. The position requires a master’s degree (equivalent to a Danish master’s degree) within a relevant robotics area or a similar field. Applicants in the final semester of their master’s programme are also encouraged to apply.

The candidate is expected to have a profound knowledge on the majority of the following topics:

• Robot control

• Reinforcement learning 

• Simulation of robot dynamics

• Deployment of learning-based solutions

Preferably, the candidate has experience with: 

• Signal processing

• Experimental design and data analysis

In addition, the candidate should:

• Demonstrate excellent written and spoken English.

• 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.

Research environment
SDU Robotics is a unit within the Maersk Mc-Kinney Moller Institute at the Faculty of Engineering, University of Southern Denmark (SDU). We are a team of approximately 60 employees based in Odense. We actively work across traditional disciplinary boundaries to develop new technologies and scientific knowledge. Our research contributes to novel solutions with applications in industrial automation, lab automation, welfare, and healthcare. Furthermore, the unit has a long-standing tradition of collaboration with industrial partners.

We value teamwork, professional diligence, enthusiasm for robotics and the drive to adopt new skills and extended responsibilities. We offer an open, international working environment with flexible work organization and support for individual development.

We look forward to receiving your application and to supporting your growth as a researcher within the field of robotics.  

Further information
Please visit us on LinkedIn: https://www.linkedin.com/company/sdu-robotics. 

Further information about this position is available via email from Professor Henrik Gordon Petersen hgp@mmmi.sdu.dk or Professor Christoffer Sloth chsl@mmmi.sdu.dk. 

If you experience technical problems, please contact our email support.

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.

ODENSE
As the 3rd largest city in Denmark, Odense provides the perfect combination of a historic city center with an urban field yet a close proximity to beaches and recreational areas. Its location on the beautiful island of Funen is ideal with easy access by train or highway to the bigger cities of Aarhus and Copenhagen; direct trains can take you straight to Copenhagen airport in less than 2 hours. Since 1966 the city has been a university town, and strong collaborative ties are in place between the University of Southern Denmark and the many Danish and International corporations in the region. As the birthplace of Hans Christian Andersen, Denmark’s famous fairytale author, the city is home to a vibrant and creative population that hosts numerous festivals and markets throughout the year.

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

The application deadline is June 10, 2026, at 11:59 PM/23:59 (CET/CEST) 

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

• Motivation letter stating your specific interest, motivation and qualifications for the position (max. 2 pages). 

• Detailed Curriculum Vitae including personal contact information.

• Master’s and Bachelor’s degree certificates or equivalent, including transcripts of grades (original and an official English translation). Applicants in the final semester of their master’s programme are requested to submit transcripts from all completed semesters. 

• 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.

All documents must be in English and PDF format. CPR number (civil registration number) must be crossed out. All PDF-files must be unlocked, allow binding and may not be password protected. 

SUBMISSION GUIDE: Motivated application must be uploaded under ‘Cover letter’ (max. 5 MB), Curriculum Vitae must be uploaded under ‘Resume’ (max 5 MB). All other documents must be uploaded under ‘Miscellaneous documents’ (max 10 files with a maximum 50 MB per file). 

If you experience technical problems, please contact our email support.

The University of Southern Denmark wishes 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.

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 a PhD fellow is a 3-year salaried position, and the monthly gross salary incl. pension is 37.075 DKK. If you have relevant postgraduate experience, you may be placed on a higher salary step.

The workplace is at SDU's main campus in Odense, Denmark, and the work is expected to be primarily onsite.

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 including the associated circular on the job structure for academic staff at Danish universities and the provisions for PhD fellows as described therein 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. Persons employed in the position may, based on a specific individual managerial assessment, be exempted from time registration, also known as a “self-organizer”.