Call for relAI PhD Applications

We are excited to announce that applications for the relAI PhD program are now open. Interested candidates can apply through our website.

The novel, innovative PhD relAI program offers a cross-sectional training for successful education in AI including scientific knowledge, professional development courses and industrial exposure, providing a coherent, yet flexible and personalised training.

Funded applicants will be hired for three years, including social benefits (TV-L E13 of the German public sector). They are further supported by travel grants, e.g. for conference attendance or research stays. Doctoral students enrol at TUM or LMU depending on the hosting relAI fellow.

We encourage candidates with an excellent master’s degree (or equivalent) in computer science, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines and a genuine interest to work on a topic of reliable AI to apply.

The call for our next cohort of PhD students is now open. Deadline for applications is January 9th, 2023.
Our next call for Master stipends will open in spring 2023. You can subscribe to our mailing list if you would like to be informed then.

You can apply for a PhD position with relAI here.

Please have the following documents/information ready before starting the application process:

  • Your CV
  • Copies of your relevant diplomas and transcripts*
  • Proof of English language proficiency (for PhD applicants only, level C1 or equivalent, or University degree that was taught mainly in English)**
  • Contact details of the two people who you picked to provide reference letters for you
  • Letter of motivation
  • Short text about your research interests
  • Names of relAI fellows you would like to work with (see Fellows)

*certified translation required if these documents are neither in German nor English
**proof of English language proficiency will be accepted until January 31st, 2023 to allow all applicants enough time to take the required test

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