Konrad Zuse School of Excellence in Reliable AI

The *Konrad Zuse School of Excellence in Reliable AI (relAI)*
<https://zuseschoolrelai.de/> 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.

 
*Applications for the relAI PhD program are now open*
 
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 program 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 relAI school is embedded in the unique transdisciplinary Munich AI
ecosystem, combining the expertise of the two Universities of Excellence*
Technical University of Munich (TUM) and Ludwig Maximilians University of
Munich (LMU)* and closely integrates various AI Centers of leading
universities worldwide and industry partners.
 
*What the relAI PhD program offers*
 
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.
<https://zuseschoolrelai.de/fellows-overview/>
 
*Eligibility*
 
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.
 
*How to apply*
 
Applications are sent online via this website
<https://zuseschoolrelai.de/application/>. We refer interested candidates
to the relAI website <https://zuseschoolrelai.de/application/> for more
information about the call requirements.
 
Deadline for applications is *January 9th, 2023*.
 
*If you are still studying for your master’s degree you may send a bona
fide statement/transcript from the university, stating the examination
marks already obtained. In addition, you will have to finish your master’s
studies before starting the PhD.