PhD Position for Building Clinical Foundation Models for Real-World Healthcare 2026

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January 19, 2026 (Updated March 13, 2026) 6 min read

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PhD student (m/f/d) | Building Clinical Foundation Models for Real-World Healthcare

Position Description

The Max Planck Institute of Biochemistry (MPIB) in Martinsried is one of the world's leading research institutions in the fields of biochemistry, cell and structural biology, and biomedical research. With approximately 30 scientific departments and research groups and about 750 employees, the MPIB is one of the largest institutes of the Max Planck Society. The Department of Machine Learning and Systems Biology led by Prof. Dr. Karsten Borgwardt is looking to recruit a highly-motivated PhD student (m/f/d) for the project Building Clinical Foundation Models for Real-World Healthcare (MLCARE project DC3). The position is funded by the MSCA Doctoral Network MLCARE (Machine Learning Computational Advancements for peRsonalized mEdicine). The MLCARE Doctoral Network seeks to advance personalized medicine by developing cutting-edge AI solutions that integrate genomic, clinical, and environmental data into holistic, multimodal patient representations. The program will equip doctoral candidates with the technical, analytical, and ethical skills needed to lead the future of patient-centered, AI-driven medicine. The advertised PhD project aims to develop robust and generalizable clinical foundation models (FMs) that can understand and reason across the diverse and often messy landscape of electronic health records (EHRs). By integrating structured data, free-text notes, lab results, and medical imaging, the PhD researcher will create multi-modal models that reflect the full richness of real clinical workflows. Using multi-hospital datasets, including both public sources such as MIMIC and private clinical data from LMU Hospital, the models will be pretrained to achieve strong generalization across hospitals and patient populations. Innovative self-supervised learning strategies will link EHR entries with patient-reported outcomes, enabling the models to learn without extensive manual labelling. To ensure practical impact, the project will focus on creating clinically understandable prompting techniques that help physicians interact with these models more effectively–avoiding costly fine-tuning and building trust in AI-driven medical decisions.

Qualifications

Applicants must hold a Bachelor’s degree and a Master’s degree (or equivalent) with a minimum total of 300 ECTS credits in fields such as data science, computer science, physics, or mathematics. Candidates with background in biology and medicine, as well as mathematical, computational, and engineering disciplines are also encouraged to apply. They should be enthusiastic about developing new methods in machine learning to solve problems in the life sciences. Excellent interdisciplinary communication skills as well as written and oral command of the English language are essential. Previous research experience in machine learning and computational biology is advantageous but not required.

Specific requirements

  • Applicants must not already be in possession of a doctoral degree at the time of recruitment. Researchers who have successfully defended their doctoral thesis but have not yet been formally awarded the degree are not considered doctoral candidates.
  • Enrollment in a doctoral programme at time of recruitment leading to the award of a degree in at least one EU Member State or Horizon Europe associated country.
  • Full-time and exclusive dedication to the assigned MSCA project.
  • Candidates may not have resided or carried out their main activity (work, studies, etc.) in Germany for more than 12 months in the 36 months immediately before the recruitment date - unless as part of a compulsory national service or a procedure for obtaining refugee status under the Geneva Convention.

Research environment

An MSCA Doctoral Network is a competitively selected joint doctoral programme, implemented by partnerships of universities, research institutions, research infrastructures, businesses (including SMEs), and other socio-economic actors from different countries across Europe and beyond. The programme leverages complementary competences of the participating organizations and enables sharing of knowledge, networking activities, the organization of workshops and conferences. Doctoral candidates in particular benefit from outstanding training opportunities and international secondments. The doctoral candidate recruited for MLCARE project DC3 will be located in the Department of Machine Learning and Systems Biology at the Max Planck Institute of Biochemistry in Martinsried, near Munich, with the opportunity to undertake secondments at ETHZ and with an industrial partner (Pharmatics). The Department of Machine Learning and Systems Biology is an international, enthusiastic, and collaborative team in an outstanding dynamic scientific environment. Research foci in the department are machine learning on graphs, machine learning in medicine and machine learning in protein research. The Max Planck Institute of Biochemistry was founded in 1973 with the aim to understand fundamental mechanisms of biochemistry, cell and structural biology, biophysics and molecular medicine. Machine learning and bioinformatics play an increasingly important role in this endeavor. The institute is part of a strong network of research institutions in the southwest of Munich and provides outstanding research opportunities for its scientists. Payment will be according to qualifications and in accordance with TVöD E13 (German public service tariff contracts, more information on the salary scales of PhDs in Germany can be found here) The initial appointment will be for 3 years. Informal inquiries are welcome and should be sent to . Further information about the institute and the department. The Max-Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Furthermore, the Max Planck Society seeks to increase the number of women in research and explicitly encourages women to apply.

Application

Then please upload your complete application documents, containing a one-page letter with a personal statement describing your scientific accomplishments and your interests in our department and its research, a detailed CV, academic records, a proof of English proficiency in electronic form via the online application website and arrange for at least two letters of recommendation to be sent to  by the application deadline with subject [Application DC3 - your name and surname]. In addition, it is important to fill in the central application form, indicating your preference for project DC3. Only complete applications will be considered. Please note that the online application website is only available during the application window January 1st- 31st, 2026. Applications by e-mail will not be considered for data protection reasons. Candidates may apply to more than one position within the MLCARE doctoral network, if relevant.
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Written by admin Published on January 19, 2026
Netherlands

PhD in Biophysics at Radboud University

🏛️ Radboud University 📍 Netherlands 📚 Biosciences Open · 29 days left (Deadline: May 30, 2026)
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Taiba Tahir
April 29, 2026 (Updated April 29, 2026) 3 min read

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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.

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Written by Taiba Tahir Published on April 29, 2026
UK

PhD in Education at University of Cambridge

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Taiba Tahir
April 29, 2026 (Updated April 29, 2026) 3 min read

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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.

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Written by Taiba Tahir Published on April 29, 2026
Norway

PhD in Mathematics Education at University of Agder

🏛️ University of Agder 📍 Norway 📚 Mathematics Open · 17 days left (Deadline: May 18, 2026)
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Taiba Tahir
April 29, 2026 (Updated April 29, 2026) 3 min read

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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.

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Written by Taiba Tahir Published on April 29, 2026
Netherlands

PhD in Mechanical Engineering at TU Eindhoven

🏛️ Eindhoven University of Technology 📍 Netherlands 📚 Engineering Open · 24 days left (Deadline: May 25, 2026)
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Taiba Tahir
April 29, 2026 (Updated April 29, 2026) 3 min read

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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.

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Written by Taiba Tahir Published on April 29, 2026