PhD Position in Computer Science at Technical University of Munich
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Position Overview
The Technical University of Munich (TUM) is offering a fully funded PhD position in Computer Science at the Institute for AI and Informatics in Medicine (AIIM). The position is part of the xMDT-HPB project, focusing on artificial intelligence for precision oncology, medical informatics, and explainable multimodal AI systems. The role is based in Munich, Germany and is supervised by Dr. Felix Busch.
Research Project: xMDT-HPB
The xMDT-HPB project develops an explainable and interoperable AI system to improve diagnosis and treatment decisions for patients with hepato-pancreato-biliary cancers. The project integrates multiple clinical data sources, including:
Medical text and clinical narratives
Radiological imaging data
Laboratory and patient trajectory data
The goal is to build trustworthy AI systems that support clinicians in personalized prognosis and treatment planning. All outputs are designed as open-source software and reusable research tools.
Key Responsibilities
The selected PhD candidate will:
Conduct doctoral research within the xMDT-HPB project under structured supervision
Work with clinical data and medical informatics standards such as MII and FHIR
Develop and implement prototypes for explainable, multimodal AI systems
Design and evaluate machine learning models for text, imaging, and structured clinical data
Build reproducible ML pipelines and benchmarking frameworks
Collaborate with clinicians, data scientists, and software engineers
Contribute to scientific publications, conferences, and project reports
Support open-source development and technical documentation
Candidate Requirements
Applicants should have a Master’s degree (or near completion) in one of the following fields:
Computer Science, Medical Informatics, Data Science, Bioinformatics, or a related discipline.
Required qualifications include:
Strong programming skills in Python
Basic experience with ML frameworks such as PyTorch or TensorFlow
Prior experience in machine learning, NLP/LLMs, data analysis, or software development
Interest in medical AI, clinical data, and interdisciplinary research
Willingness to work with medical standards and data protection regulations
Strong teamwork and communication skills
Good written and spoken English
German language skills at C1 level (required for clinical collaboration)
Applicants should also provide evidence of past projects, GitHub/GitLab links (if available), and academic outputs such as theses or publications.
PhD Structure and Work Environment
The position is a structured doctoral role at TUM with close academic supervision. The candidate will work in an interdisciplinary environment combining:
Artificial intelligence research
Medical informatics
Clinical oncology applications
The research emphasizes reproducibility, open science, and collaboration with healthcare professionals.
Salary and Benefits
Full-time PhD position funded under TV-L E13 pay scale
Occupational pension scheme (VBL)
Structured academic supervision and mentoring
Support for conference participation and scientific publishing
Access to qualification programs and career development
Open-source research contributions
Employee benefits including Wellpass and university services
Workplace located in central Munich (Max-Weber-Platz)
Application Requirements
Applicants must submit a single PDF including:
Motivation letter
CV
Academic transcripts and certificates (Bachelor’s and Master’s)
Overview of programming or ML projects (GitHub/GitLab optional)
List of publications or academic work (if available)
Contact details of two academic referees
Applications should be sent directly to Dr. Felix Busch. Applications are reviewed on a rolling basis until the position is filled.
Additional Information
This position is suitable for candidates with disabilities, who will be given preference in case of equal qualification. The university emphasizes equal opportunity and inclusive hiring practices.
For further details, candidates may contact Dr. Felix Busch at the Institute for AI and Informatics in Medicine, TUM School of Medicine and Health, Munich.
PhD in Biophysics at Radboud University
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Position Overview
Radboud University is offering a fully funded PhD position in Biophysics at the Faculty of Science in Nijmegen, Netherlands. The role is based within the Radboud Institute for Molecular Life Sciences (RIMLS) and supervised by Dr. Jorine Eeftens. The position focuses on fundamental research into protein–DNA interactions at the single-molecule level, with a planned start date of September 2026.
Research Focus
This PhD project explores how structural proteins influence the mechanical and physical properties of DNA, a key factor in genome organization and cellular function.
Core research themes include:
DNA packaging and chromatin structure
Protein–DNA interaction dynamics
Genome stability and regulation
Links between molecular dysfunction and diseases such as cancer
The project aims to uncover the physical principles governing DNA organization and how disruptions contribute to genetic disorders.
Research Methods and Approach
The candidate will use advanced single-molecule biophysics techniques, including:
Optical tweezers to study force responses of proteins
Measurement of molecular interactions and dynamics
Experimental analysis of chromatin structure
Integration of physics-based and biological approaches
This interdisciplinary work bridges biophysics, molecular biology, and medical science.
Responsibilities
The PhD candidate will:
Conduct experimental research on protein–DNA interactions
Analyze and interpret single-molecule data
Collaborate within a multidisciplinary research team
Contribute to scientific publications and presentations
Participate in teaching activities (up to 10%)
Engage in collaborations with partner institutes
Candidate Requirements
Applicants should have:
A Master’s degree in Molecular Sciences, Biophysics, Nanobiology, Biochemistry, or a related field
Strong interest in chromatin biology and interdisciplinary research
Good communication and academic writing skills in English
Ability to work both independently and in teams
Preferred Qualifications
The following are advantageous:
Experience with optical tweezers
Background in chromatin biology or DNA mechanics
Laboratory research experience in molecular or biophysical systems
Research Environment
The position is hosted at RIMLS, a leading interdisciplinary research institute focusing on:
Epigenetics and developmental biology
Biophysics and computational biology
Molecular life sciences research
The candidate will work in the Chromatin Biophysics group and collaborate with the Institute for Molecules and Materials, benefiting from strong interdisciplinary and international partnerships.
PhD Structure
Duration: 4 years full-time (or 5 years at 0.8 FTE)
Initial contract: 1.5 years with evaluation
Extension based on performance
Teaching load: up to 10%
Salary and Benefits
Starting salary: €3,059/month, increasing to €3,881
8% holiday allowance and 8.3% year-end bonus
30–41 days of annual leave
Flexible working hours and remote work options
Pension plan and additional employee benefits
Discounts on sports and cultural activities
Access to training and career development programs
Application Requirements
Applicants must submit:
Cover letter addressed to Dr. Jorine Eeftens
CV
Supporting documents as specified in the application portal
Applications must be submitted through the official online system.
Deadline
30 May 2026
Additional Information
Shortlisted candidates will be invited for interviews in early June 2026. The university promotes diversity, inclusion, and equal opportunity in recruitment.
This PhD position offers a strong opportunity to work at the intersection of physics and biology, contributing to cutting-edge research in genome organization and disease mechanisms.
PhD in Education at University of Cambridge
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Programme Overview
The University of Cambridge offers a PhD in Education through its Faculty of Education. This is a research-intensive doctoral programme designed to produce original academic work and contribute to global education research. The programme runs for 3–4 years full-time or 4–7 years part-time, starting in October 2026.
Applications for this cycle are now closed and are expected to reopen in early September.
Research Focus and Structure
The PhD is centred on independent research guided by an academic supervisor. Students are expected to develop a substantial thesis of up to 80,000 words, contributing new knowledge to the field of education.
Key features include:
Predominantly research-based study
Individual supervision by subject experts
Participation in research seminars and academic activities
Engagement with global education research challenges
Academic Environment
The Faculty of Education is one of the UK’s leading research institutions, ranked among the top in national assessments. It offers a strong academic environment with:
World-leading research output and impact
Interdisciplinary collaboration opportunities
Access to extensive academic resources and networks
Doctoral students contribute actively to the faculty’s research culture and are encouraged to engage in scholarly discussions and academic events.
Training and Development
At the beginning of the programme, students join the Pathways to Research initiative, which provides:
Structured academic support
Research skills development
A collaborative doctoral community
Students also create a personalized development plan, drawing on resources across the university.
Supervision and Feedback
Each PhD student is assigned:
A primary supervisor for research guidance
An academic adviser for additional support
Students receive:
Regular supervision meetings
Ongoing formative feedback
Annual progress reports
Progression to full PhD registration requires passing a first-year review, including a written report and oral examination (registration viva).
Assessment
The PhD is assessed through:
A written thesis (maximum 80,000 words)
A viva voce (oral examination)
Students must successfully complete both to obtain the degree.
Admission Requirements
Applicants should have:
A Master’s degree in Education or a related field
Demonstrated research skills and academic potential
International applicants must meet English language requirements, such as:
IELTS overall score of 7.5 (minimum 7.0 in each component)
TOEFL score of 110
Application Requirements
A complete application must include:
Research proposal (up to 1,500 words)
CV/resume
Academic transcripts
Two references (academic or professional)
Evidence of English proficiency
Named prospective supervisor
Applicants are required to contact a potential supervisor before applying to ensure alignment of research interests.
Fees and Funding
Estimated annual costs:
University fees: £10,878
Living expenses: £19,860
Total: approximately £30,738 per year
Limited funding is available, and applicants are encouraged to apply early for scholarships such as Gates Cambridge.
Key Dates
Applications open: 3 September 2025
Application deadline: 16 March 2026
Funding deadline: 3 December 2025
Programme start: 1 October 2026
Additional Information
The programme emphasizes independent research, critical thinking, and academic contribution. Students benefit from a globally recognized academic environment and strong supervisory support.
Prospective applicants should monitor official updates, as applications are expected to reopen in the next cycle.
PhD in Mathematics Education at University of Agder
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Position Overview
The University of Agder is offering a fully funded PhD position in Mathematics Education at the Faculty of Engineering and Science. The role is based at Campus Kristiansand and is affiliated with the Department of Mathematical Sciences. The position is available for 3 years (or 4 years with 25% teaching duties), with a flexible start date.
Research Focus
The PhD project explores innovative approaches to university mathematics teaching, addressing the gap between modern developments in mathematics and traditional teaching methods.
Key research themes include:
Integration of digital tools such as AI, CAS, and automated theorem provers
Use of visualizations and concrete materials in mathematics learning
Teaching strategies for different student groups (e.g., engineering students, future teachers)
Analysis of learning processes and mathematical development
Alignment of academic teaching with industry and research practices
Research Environment
The position is part of MERGA, a leading research center in mathematics education with an active PhD community. The candidate will join the research group “Mathematics in Higher Education” and collaborate closely with MatRIC, a national Centre for Excellence in Higher Education.
The department is actively involved in international and Nordic research collaborations and hosts the Graduate School in Mathematics and Science Education (MaScE).
Responsibilities
The PhD candidate will:
Conduct independent research in mathematics education
Develop and submit a detailed research proposal within three months
Contribute to research projects and academic publications
Participate in teaching and academic activities
Engage in national and international research collaborations
Contribute to the academic community and research group
Candidate Requirements
Applicants must have:
A Master’s degree in Mathematics Education or a closely related field
Teaching qualifications
Strong academic background and research potential
Proficiency in written and spoken English
Preferred Qualifications
The following are considered advantageous:
Proficiency in Norwegian or another Scandinavian language
Experience in teaching at school or university level
Knowledge of qualitative and/or quantitative research methods
Experience in academic research or collaborative projects
Familiarity with literature reviews and educational research methods
Personal Competencies
The ideal candidate should demonstrate:
Strong motivation and curiosity for mathematics education research
Ability to work independently and collaboratively
Structured and goal-oriented research approach
Analytical thinking and attention to detail
Adaptability to new research methods and topics
PhD Structure
Duration: 3 years (or 4 years with teaching duties)
Enrollment in the PhD programme in Engineering and Science (Mathematical Sciences specialization)
Research visits and collaboration opportunities may be included
Dissertation typically written in English
Salary and Benefits
Annual salary: NOK 550,800
Membership in the Norwegian Public Service Pension Fund
Access to modern research facilities and academic resources
Inclusive and diverse work environment
Professional development and research training opportunities
Application Requirements
Applicants must submit:
Cover letter outlining motivation and research interests
Academic transcripts and certificates
Master’s thesis
Preliminary research proposal (max 5 pages)
References
List of publications or research outputs (if available)
Any additional relevant documentation
All applications must be submitted electronically through the official application portal.
Deadline
19 May 2026
Additional Information
For academic inquiries, applicants may contact Professor David Reid or the department leadership. For application-related questions, contact the university’s HR team.
The University of Agder promotes diversity, inclusion, and equal opportunity, encouraging candidates from all backgrounds to apply.
PhD in Mechanical Engineering at TU Eindhoven
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Position Overview
Eindhoven University of Technology (TU/e) is offering a fully funded PhD position in Mechanical Engineering focused on sustainable energy systems. The role is part of a Dutch Research Council (NWO) project under the Open Technology Programme, exploring the Iron Power Cycle as a carbon-free energy storage solution. The position is full-time (4 years) and based in Eindhoven, Netherlands.
Research Focus
This PhD project investigates iron powder combustion as a low-cost, circular energy carrier for large-scale energy storage and transport.
Key research objectives include:
Understanding combustion behavior of iron powders with impurities
Studying ignition, temperature, and particle transformation
Enabling the use of industrial-grade, low-cost iron powders
Supporting development of next-generation metal fuel systems
The project combines experimental combustion studies with materials analysis and supports predictive modeling of energy systems.
Key Research Activities
The candidate will conduct advanced experimental and analytical work, including:
Single-particle combustion experiments
Solid-phase oxidation studies
Post-combustion material characterization
Analysis of particle morphology and reaction behavior
Integration of findings into multiscale modeling frameworks
The research is part of the Power and Flow (P&F) Section, known for leading work in metal fuel technologies.
Responsibilities
The PhD candidate will:
Design and conduct laboratory experiments on iron powder combustion
Analyze experimental data and interpret results
Collaborate with academic and industrial research partners
Contribute to scientific publications and presentations
Participate in teaching activities (10–15% workload)
Support interdisciplinary research within energy and materials science
Candidate Requirements
Applicants should have a Master’s degree in:
Mechanical Engineering
Chemical Engineering
Materials Science
Physics or a related field
Essential qualifications include:
Strong interest in combustion, reactive materials, or multiphase flows
Experience with laboratory experiments and data analysis
Programming and data-processing skills
Ability to work independently and in teams
Strong communication skills in English
Preferred Qualifications
The following are considered advantageous:
Experience with optical diagnostics or combustion experiments
Background in materials characterization techniques
Familiarity with experimental research environments
Work Environment
The position is based in the Department of Mechanical Engineering at TU/e, located in Brainport Eindhoven, a leading European high-tech region.
The research environment offers:
Collaboration with top academic and industrial partners
Access to advanced laboratories and infrastructure
Interdisciplinary work across energy, materials, and engineering
PhD Structure
Duration: 4 years full-time
Initial assessment after 9 months
10–15% teaching responsibilities
Structured training and career development programs
Focus on developing independent research skills
Salary and Benefits
Monthly salary: €3,059 to €3,881
8.3% year-end bonus and 8% holiday allowance
Pension scheme and parental leave benefits
Access to sports facilities and campus services
Support for international candidates (relocation and tax benefits)
Commuting and remote work allowances
Application Requirements
Applicants must submit:
Cover letter outlining motivation and qualifications
CV including publications and three referees
Complete application via TU/e online system
Incomplete applications or submissions via email will not be considered.
Deadline
26 May 2026
Additional Information
For further details, candidates may contact Prof. XiaoCheng Mi or the HR advisor at TU/e.
Eindhoven University of Technology offers a collaborative, innovation-driven research environment and encourages applications from diverse and international candidates.