DAAD Konrad Zuse School of Excellence in Reliable Artificial Intelligence (relAI): Scholarship for Master's Students and PhD Candidates

Deadline not listed

Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with domain knowledge in 4 core application domains, for which reliable AI methods are most urgently needed: medicine and healthcare, robotics & interacting systems, algorithmic decision-making, and learning and instruction. relAI scholarships are intended to support outstanding students and PhD candidates who are studying AI related subjects so they are able to focus on their studies. relAI 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. The scholarship is mainly awarded based on academic excellence, but also aims to improve internationalisation and diversity in AI related teaching programmes. Target Group highly qualified (current or prospective) Master's students and PhD candidates who have achieved excellent results in their previous studies, and who pursue studies in Artificial Intelligence, broadly conceived Academic Requirements Master's students and PhD candidates pursuing studies in Artificial Intelligence and related subjects Number of Scholarships 15 Duration standard duration of the Master's programme or 3 years for the PhD programme Scholarship Value Information about the scholarship is published in the annual call for applications. Application Papers • CV • copies of relevant diplomas and transcripts • motivation letter, also highlighting previous experience in the field, e.g. in Bachelor's or Master's thesis • mention of the preferred research area • proof of English language proficiency: level C1 or equivalent (also acceptable: proof that previous university degree was taught mainly in English) • PhD programme only: choice of 2 preferred supervisors who are relAI Fellows, along with a short explanation (max. 1,000 characters) for each why the respective supervisor would be a good fit; names and addresses of 2 researchers who consent to be contacted for recommendation letters. Application Deadline Open calls are published on the website .

You'll leave ScholAfrik to apply with DAAD Konrad Zuse School of Excellence in Reliable Artificial Intelligence (relAI).