Mentoring & Supervision

As our School aims at educating excellent AI talents from their very start, our concept includes structured mentoring already during the MSc program. During the doctoral phase, a Transdisciplinary Thesis Advisory Committee (TTAC) is formed for each doctoral researcher relAI in consideration of academic interests and future plans to ensure the highest quality in mentoring.

For MSc students

To provide continuous and consistent support during the entire MSc phase, a team consisting of one fellow and one relAI doctoral researcher offers topical guidance. For this task, the mentoring teams meets at least once each term with their mentee to discuss their progress and update the mentee’s individual development plan. The basis of each such meeting is a short report to be submitted by the MSc student beforehand, which will be included in the individual development plan. The master thesis can also be done together with one of the industry or academic partners of our School.

For PhD students

A Transdisciplinary Thesis Advisory Committee (TTAC) mentors our doctoral researchers. The TTAC exploits the unique topical structure of the school and consists of a representative fellow from the foundations, another one from applications, and a third one from our industry partners. This TTAC team provides topical advice and guidance regarding the different career paths in AI, in particular in line with the scope of the individual development plan. The TTAC meets at least once each term with their mentee to discuss their progress and update the mentee’s individual development plan.

In addition, doctoral students may themselves become mentors to MSc students. Gathering experience in mentoring strengthens their own coaching skills and acquires valuable competencies for their career.