Profile Topic Artificial Intelligence

Programs for Young Researchers

At TU Darmstadt, talented and motivated young scientists of all stages find an outstanding environment under attractive employment and career conditions which they actively help form and in which they can optimally develop their potential.

Further information for early career researchers at TU Darmstadt

Duration 10/2015 – 12/2024
Website https://www.tu-darmstadt.de/eliza
Short description The Konrad Zuse School of Excellence in Learning and Intelligent Systems (ELIZA) is a graduate school in the field of artificial intelligence (AI) funded by the German Academic Exchange Service (DAAD). ELIZA’s research and training activities focus on four main areas: the basics of machine learning (ML) — including ML-driven fields like computer vision, Natural Language Processing (NLP), or robot learning —, machine learning systems, applications in autonomous systems, as well as trans-disciplinary applications for machine learning in other scientific fields, from life sciences to physics.
Duration
Website https://hessian.ai/research/#graduate-school
Short description The hessian.AI Graduate School that is currently being established combines the goal of promoting young scientists in the field of artificial intelligence in the best possible way, ensuring optimal conditions for doctoral studies, and continuously strengthening the international appeal of hessian.AI.
Young Investigators Independend Research Group Appointment Funding / Program
Dr. Carlo d’Eramo, Department of Computer Science
current position: professor at University of Würzburg 		Light Reinforcement Learning (LiteRL) 2022 HMWK / hessian.AI
Dr. Devendra Singh Dhami, Department of Computer Science Causality And neUro-Symbolic artificial intElligence (CAUSE) March 2022 HMWK / hessian.AI
Dr. Ivan Habernal, Department of Computer Science
current position: professor at University of Paderborn 		Trustworthy Human Language Technologies (Trust HLT) January 2021 HMWK / hessian.AI
Dr. Dorothea Koert, Department of Computer Science Interactive AI algorithms & cognitive models for human-AI interaction (IKIDA) October 20121 BMBF
Dr. Anirban Mukhopadhyay, Department of Computer Science Medical & Environmental Computing (MEC-Lab) HMWK / hessian.AI
Dr. Martin Mundt, Department of Computer Science Open World Lifelong Learning (OWLL) March 2022 HMWK / hessian.AI
Dr. Simone Schaub-Meyer, Department of Computer Science data-Efficient Video Analysis (EVA) December 2021 HMWK / hessian.AI