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Phd / Ulm University

Ulm University PhD Scholarships 2026 in Explainable Medical AI, Germany

Scholarship
Germany
On-site
Published Jun 4, 2026

Overview

Host Country: Germany University: Ulm University Degree Level: PhD (Doctoral Research) Number of Positions: 9 funded PhD positions Research Area: Explainable Medical AI, Machine Learning, Healthcare AI, Bioinformatics Funding Type: Fully funded research employment (E13 salary scale) Duration: 3 years (extendable by 1 year) Start Date: January 2027 Deadline: 31 August 2026

Description

Host Country: Germany University: Ulm University Degree Level: PhD (Doctoral Research) Number of Positions: 9 funded PhD positions Research Area: Explainable Medical AI, Machine Learning, Healthcare AI, Bioinformatics Funding Type: Fully funded research employment (E13 salary scale) Duration: 3 years (extendable by 1 year) Start Date: January 2027 Deadline: 31 August 2026

Eligibility

Applicants must:

Hold a Master’s degree in a relevant field
Demonstrate strong academic and research background
Show interest in explainable and trustworthy AI systems
Have experience in machine learning or data analysis (preferred)
Be capable of interdisciplinary research collaboration
Provide strong motivation for medical AI research

Preferred qualifications:

Research experience in AI or healthcare data
Programming and machine learning skills
Publications or thesis work in related areas
Understanding of ethical or clinical AI challenges

Additional Information

Scholarship Summary

Host Country: Germany University: Ulm University Degree Level: PhD (Doctoral Research) Number of Positions: 9 funded PhD positions Research Area: Explainable Medical AI, Machine Learning, Healthcare AI, Bioinformatics Funding Type: Fully funded research employment (E13 salary scale) Duration: 3 years (extendable by 1 year) Start Date: January 2027 Deadline: 31 August 2026

Degree Level

These positions are available for:

PhD (Doctoral) researchers
Early-stage research candidates in AI and healthcare
Interdisciplinary doctoral scholars

Available Subjects

Applicants should have a background in:

Artificial Intelligence
Computer Science
Data Science
Medical Informatics
Bioinformatics
Human Medicine (with computational experience)
Ethics or Philosophy (with AI interest)
Related interdisciplinary fields

Research Focus

The KEMAI programme focuses on:

Explainable AI in medical decision-making
Transparent machine learning models
Clinical AI applications in diagnostics and treatment
Ethical and legal aspects of medical AI
Integration of AI systems into healthcare workflows
Interdisciplinary research between medicine and computer science

Benefits

Selected candidates will receive:

Fully funded PhD employment contract (E13 salary scale)
Monthly research salary under German public-sector pay system
Full tuition and research funding coverage
Health insurance and social security benefits
Access to advanced AI and medical research facilities
Interdisciplinary academic training environment
Opportunity to publish in international journals
Participation in conferences and collaborative research projects
Possible contract extension up to 1 additional year

Eligible Nationalities

Open to international applicants
No nationality restrictions
English-speaking environment (German not required but helpful)

Eligibility Criteria

Applicants must:

Hold a Master’s degree in a relevant field
Demonstrate strong academic and research background
Show interest in explainable and trustworthy AI systems
Have experience in machine learning or data analysis (preferred)
Be capable of interdisciplinary research collaboration
Provide strong motivation for medical AI research

Preferred qualifications:

Research experience in AI or healthcare data
Programming and machine learning skills
Publications or thesis work in related areas
Understanding of ethical or clinical AI challenges

Required Documents

Applicants generally need to submit:

Updated CV
Master’s degree certificates and transcripts
Motivation letter / statement of interest
Reference letters
Proof of English proficiency (if required)
Research-related documents (thesis, publications, portfolio)

Application Process

Prepare academic and research documents
Write a strong motivation letter focused on AI in healthcare
Submit CV and academic transcripts
Provide recommendation letters
Highlight research experience and technical skills
Apply before the official deadline through the university portal
Shortlisted candidates may be invited for interviews

Frequently Asked Questions Faqs

Who can apply for Ulm University PhD positions? Applicants with a Master’s degree in AI, computer science, data science, medical informatics, bioinformatics, or related fields can apply.
Are these PhD positions fully funded? Yes, selected candidates receive a fully funded employment contract under Germany’s E13 salary system, covering living costs and research expenses.
Do applicants need German language skills? No, the programme is conducted in English, although German language skills may be helpful for daily life in Germany.

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Funding

Fully Funded

Organization

Ulm University

Degree

PhD

Subjects

Medical AI

Nationality

International Students

Country

Germany

Source

Information provided by scholarships_ads.

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