Ulm University PhD Scholarship (KEMAI Program) 2026 – Medical Artificial Intelligence
Scholarship Description
The Ulm University PhD Scholarship (KEMAI Program) offers fully funded doctoral positions for highly skilled individuals passionate about interdisciplinary research in Medical Artificial Intelligence (AI). KEMAI (a research initiative at Ulm University) provides a unique opportunity to work at the intersection of computer science and medicine, developing cutting-edge AI technologies to transform medical diagnostics and treatments.
Ulm University has consistently ranked as the best young German university, achieving top positions in the Times Higher Education (THE) 150 Under 50 and QS University Rankings. In the THE World University Ranking, it is placed within the top ten percent globally, showcasing its excellence in citations, third-party funding, and internationalisation.
PhD candidates benefit from fully funded positions for up to four years with a competitive E13 salary (German public sector pay scale), plus additional benefits including health insurance, social security, travel funds, and research allowances. The program is integrated into Ulm University's successful Graduate School IGradU, which has a long-standing tradition of supporting doctoral researchers since 2007.
Scholarship Location
The scholarship is tenable at Ulm University, Ulm, Germany. Ulm has recently been rated as the most liveable German city by the renowned Prognos City Ranking 2024. Nestled along the picturesque Danube River and close to the Alps, Ulm offers ample opportunities for outdoor activities such as hiking, skiing, and cycling. The city also boasts a rich history, including the iconic Ulm Minster with the tallest church steeple in the world.
Scholarship Deadline
KEMAI has a rolling application process that continues until all PhD positions are filled. Applications are open for doctorates beginning from January 2027.
Rolling Cutoff Dates: Last day of each month (April 30, May 31, June 30, July 31, etc.)
Review Begins: First day of the following month
Interview Invitations: Within one week after cutoff
Zoom Interviews: Scheduled for the middle of the month
Recommendation: Apply early as positions are filled on a rolling basis. The next cutoff dates are the last day of each month.
Host Institution
Ulm University – a leading research university in Germany, consistently ranked as the best young German university. The KEMAI program is hosted within the university's internationally recognised computer science and medical research departments, in collaboration with the Graduate School IGradU.
Level and Fields of Study
Level: PhD (Doctoral) – 3 to 4 years duration.
Fields: Interdisciplinary research in Medical Artificial Intelligence at the intersection of computer science and medicine. Eligible fields include but are not limited to: Computer Science, Medicine, Bioinformatics, Biophysics, Engineering, Philosophy, Physics, Mathematics, and other related natural science disciplines.
Research focus: Developing cutting-edge AI technologies to transform medical diagnostics and treatments, including deep learning for healthcare, medical image analysis, clinical decision support systems, and AI-driven diagnostics.
Target Group
Highly skilled international candidates from all countries who are passionate about interdisciplinary research in medical AI. The program welcomes applicants with diverse academic backgrounds who can contribute to KEMAI's research goals.
Scholarship Duration & Amount
Duration: Up to 4 years (planned PhD completion within 3–4 years).
Funding: Fully funded position with E13 salary (German public sector pay scale) – a competitive monthly salary that includes health insurance, social security, and pension contributions.
Additional financial benefits:
- €1,100 annually for Open Access publication fees
- Travel funds to attend international conferences, workshops, and academic events
- €3,300 allocation for research stays (extended visits to collaborate with other institutions worldwide)
- Funds for academic retreats (community building and networking)
- Technical PhD students will further be supported by a student assistant each
Publication expectation: PhD students are expected to publish 2–3 original research papers at top venues during their doctoral studies.
📊 Summary of Benefits:
E13 Salary (German public sector) + Health insurance + Social security
Annual allowances: €1,100 (Open Access) + Travel funds + €3,300 (research stays)
Support: Student assistant for technical PhD students + Retreat funding
Scholarship Eligibility
Master's degree requirement: A degree completed with above-average success and an overall grade of 2.0 or better (according to the German grading system) in a master's program or a university program with a minimum standard study period of four years. This generally equals a CGPA of 3.0 or higher depending on your university's grading system (use the Modified Bavarian formula conversion tool).
Field of study: Should align with KEMAI research focus. Eligible fields include: Computer Science, Medicine, Bioinformatics, Biophysics, Engineering, Philosophy, Physics, Mathematics, or other related natural science disciplines.
Skills required: Strong analytical and problem-solving skills essential for success in the KEMAI project. Candidates should demonstrate the ability to tackle complex research questions and develop innovative solutions.
Passion for research: A genuine passion for research and innovation in medical AI is crucial.
English proficiency (minimum B2 CEFR):
- IELTS score of 6.0 or higher
- TOEFL iBT score of 80 or higher
- Equivalent B2-level certification
✅ Eligible Candidates
- Hold a Master's degree (or equivalent 4-year university degree) in a relevant field.
- Above-average grades (German grade 2.0 or better / CGPA ≥ 3.0 equivalent).
- Strong analytical, problem-solving, and coding skills.
- English proficiency at B2/IELTS 6.0/TOEFL 80+.
- Passion for medical AI research and innovation.
- All nationalities welcome.
❌ Ineligible Candidates
- Applicants without a Master's degree or equivalent.
- Grades below German 2.0 (or equivalent CGPA below 3.0).
- Insufficient English proficiency (below B2/IELTS 6.0/TOEFL 80).
- No demonstrated analytical or research skills.
- Field of study unrelated to computer science, medicine, natural sciences, or engineering.
Application Procedure
- Prepare application materials – Gather the following documents in PDF format:
- CV – detailed curriculum vitae highlighting academic achievements, research experience, and relevant skills
- Cover letter – explain your motivation for applying to the KEMAI project and specify two projects you are interested in from the KEMAI project list, OR pitch your own research idea (approx. half a page) with supervisor suggestions from within the KEMAI team
- Transcripts – official academic records including information on the grading system
- Certificates – Bachelor's and Master's degree certificates
- Final grade – include information on your final overall grade according to the conversion tool for the "Modified Bavarian formula". The program requires the German grade 2.0 or better (generally equals CGPA 3.0 or higher)
- Submit via application form or email – Use the online application form on the KEMAI website OR send materials via email to [email protected].
- For email submission: Attach documents as individual PDF files named:
<lastname>_coverletter.pdf<lastname>_cv.pdf<lastname>_certificate.pdf<lastname>_transcript.pdf
- Specify projects – Clearly indicate the two projects that interest you most in your email/cover letter, or outline your own project idea.
- Use correct subject line – "KEMAI - PhD Application" for email submissions.
- Wait for review – Applications are reviewed on a rolling basis after each monthly cutoff date (last day of each month).
- Interview process – Selected candidates receive interview invitations within one week. Zoom interviews (approx. 30 minutes) include:
- Brief self-introduction
- Presentation and discussion of a scientific paper (5 minutes + discussion; paper provided with interview invitation)
- Basic coding tasks in a preferred programming language
- Outcome notification – Candidates are informed of the interview outcome within one week after the interview.
Important notes: PhD candidates are expected to publish 2–3 original research papers at top venues during their doctorate. The program provides full funding (E13 salary) for the entire PhD period. Each PhD candidate also receives support from a student assistant (for technical PhD students).
Official Website & Application Link
Ulm University KEMAI – PhD Application Page
Email Contact: [email protected]
Application Form: Available on the KEMAI website (online application form for document upload)
💡 Final Thoughts and Key Requirements
The Ulm University PhD Scholarship (KEMAI Program) offers an exceptional opportunity for researchers passionate about Medical Artificial Intelligence. With full E13 funding, generous research allowances, and integration into Ulm's world-class Graduate School IGradU, doctoral candidates can focus entirely on groundbreaking research at the intersection of computer science and medicine.
Key strategies for a successful application:
- Ensure your Master's degree grade is equivalent to German 2.0 or better (CGPA ≥ 3.0). Use the Modified Bavarian formula for accurate conversion.
- Prepare a strong cover letter identifying two specific KEMAI projects (or pitch your own research idea with supervisor suggestions).
- Demonstrate strong analytical and coding skills — the interview includes basic coding tasks.
- Prepare for the scientific paper presentation — you will receive the paper with your interview invitation.
- Highlight any previous research experience in medical AI, machine learning, or related fields.
- Apply early — the rolling admissions process means positions fill quickly.
- Ensure your English proficiency meets B2/IELTS 6.0/TOEFL 80 minimum.
Why choose Ulm University? Ulm has been rated as the most liveable German city (Prognos City Ranking 2024). The region offers excellent career opportunities after PhD, with average IT salaries second highest in Germany after Munich, and prominent companies like Daimler, Continental, Bosch, and Zeiss in the area. The combination of a prestigious PhD from Germany's best young university and the vibrant job market in Ulm ensures graduates are well-positioned for successful careers in academia or industry.
Important reminders: PhD candidates are expected to publish 2–3 papers at top venues. The program provides full funding for up to 4 years with an E13 salary. All application documents must be submitted as PDFs. For technical questions, contact [email protected].
Ulm University PhD Scholarship (KEMAI) 2026 – FAQ
What is the KEMAI program?
KEMAI is a research initiative at Ulm University focused on Medical Artificial Intelligence, developing cutting-edge AI technologies to transform medical diagnostics and treatments at the intersection of computer science and medicine.
What funding is provided?
Fully funded E13 salary (German public sector pay scale) for up to 4 years, plus €1,100/year for Open Access fees, travel funds, €3,300 for research stays, retreat funding, and a student assistant for technical PhD students.
What are the eligibility requirements?
A Master's degree with German grade 2.0 or better (CGPA ≥ 3.0 equivalent), strong analytical skills, English proficiency (B2/IELTS 6.0/TOEFL 80+), and a passion for medical AI research.
What is the application deadline?
Rolling admissions with cutoff dates on the last day of each month (April 30, May 31, June 30, July 31, etc.). Applications are reviewed on the first day of the following month.
What does the interview process involve?
A 30-minute Zoom interview including a self-introduction, presentation and discussion of a scientific paper (5 minutes + discussion), and basic coding tasks in a preferred programming language.
How do I apply?
Submit your CV, cover letter (specifying two preferred projects or pitching your own idea), transcripts, and degree certificates via the online application form or email to [email protected] with the subject line "KEMAI - PhD Application".
What is the expected publication output?
PhD students are expected to publish 2–3 original research papers at top venues during their doctoral studies.
Why choose Ulm University?
Ulm is consistently ranked as the best young German university and the most liveable German city (Prognos City Ranking 2024). The region offers excellent career opportunities with the second highest IT salaries in Germany and companies like Daimler, Continental, Bosch, and Zeiss.