PhD Scholarships in Machine Learning: Do you have a strong interest in Computer Vision, artificial intelligence, and machine learning research, and look forward to pursuing a PhD degree at the Munich Center for Machine Learning (MCML)?
It’s an annual Matchmaking Call in the fall for exceptionally qualified applicants with a master’s or graduate degree in a related discipline. The PhD position aims to help improve gender balance in this field; applications from women are especially welcome. Applicants are encouraged to submit their application before or on the 14th November, 2025
Why Pursue PhD Scholarships in Machine Learning at MCML?
- The PhD position is fully funded for three years at the TV-L E13 level (based on tariff contracts for public service, commensurate with experience).
- Joining one of the leading AI research facilities in Germany and around Europe will give you access to a first-rate network of academics and scientists.
- Your office will be located at the Technical University of Munich, or LMU Munich.
- TUM and LMU Munich offer a variety of benefits to their staff, including assistance for foreign scientists.
- TUM and LMU Munich encourage women to apply and are interested in having more female faculty members.
- This role is also attainable in a part-time capacity. People with impairments who are equally as qualified as other applicants will receive special treatment.
Program Description – PhD Scholarships in Machine Learning in Germany
MCML Matchmaking is a PhD program across various research areas, available to highly qualified applicants who want to pursue a PhD and work in machine learning research.
It offers a full stipend support and the chance to work in a vibrant, global research environment are features of these positions.
The online application commenced on October 15, and selected candidates will develop a PhD research project in a field related to one of the three research areas of MCML:
- Foundations of Machine Learning
- Perception, Vision, and NLP
- Domain-Specific Machine Learning
Qualification for PhD Scholarships in Machine Learning
- Have a master’s or comparable graduate degree from an accredited college or university in computer science, artificial intelligence, machine learning, mathematics, statistics, data science, physics, or a similar discipline.
- Your degree must be comparable to the equivalent German degree if you obtained it from a university outside of Germany. Officials from the university must approve a final eligibility decision.
- The application must be submitted before the deadline on November 14, 2025.
- When translated to the German system using the Bavarian formula, the final MSc degree grade must be at least 2.3 (or the overall average grade if the MSc degree has not yet been given; see section PhD Application-Transcript Converter).
- Have a strong interest in pursuing scientific goals.
- Be proficient in the English Language: Must have an extremely strong mastery of the English language.
How To Apply For This PhD Position
For the login information and application form, please supply a personal email address that you can use for up to a year following the application date. Other submission methods won’t be taken into account
By November 14, 2025, at 23:59 (local time), at the latest, please submit your application.
The following files must be uploaded to the online application portal:
- Academic curriculum vitae (CV)
- Master’s degree certificates
- Master’s transcript records
- Master’s degree grades converted to the German system (if applicable)
- Bachelor’s degree certificate
- Bachelor’s transcript of records
- Bachelor’s degree grades converted to the German system (if applicable)
Optional documents include:
- Other University Degree(s)
- High-School Diploma
Additional information to submit with your application includes:
- MCML research area you would like to apply to
- Brief research experience or motivation statement
- Brief statement of research focus and preferred principal investigator(s)
- Overview of publications, internships, and awards
- Contact information for one reference
Deadline and Contact Information
Application Deadline: The submissions must be submitted by November 14, 2025. (The portal shuts at 23:59 CET.)
Interviews and candidate review: December 1, 2025–January 31, 2026
Decision: March 31, 2026
Start date: July 1, 2026 (a slightly later start date is also feasible)