Deadline: January 9, 2023
Applications are open for the relAI PhD Programme 2023. The Konrad Zuse School of Excellence in Reliable AI (relAI) aims to train future generations of artificial intelligence (AI) experts, who for the first time combine technical brilliance with awareness of the importance of AI’s reliability.
The current technological revolution is largely driven by spectacular progress in AI. Yet, although the huge potential is widely recognized, the lack of a reliable AI technology whose fundamental bases are safety, security, privacy and responsibility, is still considered a serious issue of concern, limiting its adoption both by industry and society at large.
The relAI programme focuses on the mathematical and algorithmic foundations of reliable AI along with domain knowledge in three core application areas for which reliable AI methods are most urgently needed: medicine & healthcare, robotics & interacting systems, and algorithmic decision-making.
- The novel, innovative PhD relAI programme 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.
- Applicant should have an excellent master’s degree (or equivalent) in computer science, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines.
- Applicants should have a genuine interest to work on a topic of reliable AI covering aspects such as safety, security, privacy and responsibility in one relAI’s research areas Mathematical & Algorithmic foundations, Algorithmic Decision-Making, Medicine & Healthcare or Robotics & Interacting Systems
Applicants must have the following documents/information ready before starting the application process:
- Your CV
- Copies of your relevant diplomas and transcript
- 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)
For more information, visit relAI PhD Programme.