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Prof. Dr.-Ing. Marcus Magnor

Unknown Organization
Technische Universität Braunschweig, Germany
Apply by Aug 31, 2024

Application deadline

Aug 31, 2024

Job

Job location

Prof. Dr.-Ing. Marcus Magnor

Geocoding

Technische Universität Braunschweig, Germany

Geocoding in progress.

Source: legacy

Quick Information

Application Deadline

Aug 31, 2024

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job

Job location

Prof. Dr.-Ing. Marcus Magnor

Geocoding

Technische Universität Braunschweig, Germany

Geocoding in progress.

Source: legacy

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Job Description

The position holder has a strong background in Computer Science with a focus on Artificial Intelligence/​Machine Learning, specifically in the areas of Dependable AI and Explainable AI. Applicants should possess a method-oriented research focus on machine learning and have made internationally recognized contributions to at least one of the current research areas such as neural networks, generative and adversarial models, online and transfer learning, federated learning, (deep) reinforcement learning, probabilistic inference, graphical models, and/or MDP/​POMDP. A researcher is sought who is able to combine the theoretical-methodological investigation and development of learning methods with applications in interactive intelligent systems, for example in autonomous robots, intelligent virtual agents, or intelligent networked production systems. Suitable applicants are expected to show an active interest in the concrete implementation of cognitive abilities in technical systems, ensuring compatibility with partners in engineering and natural sciences. With his/her research performance, the position holder will enhance the international visibility of TU Braunschweig in the field of Artificial Intelligence. In teaching, topic-related courses in the areas of Artificial Intelligence and Machine Learning shall complement the Bachelor's and Master's degree programs of the Department of Computer Science. In particular, the topic of Machine Learning/​Artificial Intelligence is to be anchored in undergraduate teaching with a new compulsory Bachelor course. Participation in the academic self-administration of the university is expected as well as the willingness to actively shape computer science at the TU Braunschweig.

Requirements

  • Internationally recognized research personality in the field of artificial intelligence/machine learning
  • Profound knowledge of computer science
  • Successful acquisition of third-party funding
  • Experience in establishing and leading an own research group
  • Teamwork
  • management and leadership skills
  • Commitment to Bachelor's and Master's degree programs in Computer Science
  • Data Science
  • Information Systems Engineering
  • and Information Systems
  • particularly with regard to undergraduate education in the field of machine learning
  • Very good command of the English language and willingness to teach courses in English
  • Willingness to engage in interdisciplinary collaborations
  • Commitment to increasing the internationalization and international visibility of the TU Braunschweig
  • Willingness to participate in the self-governance of the university
  • Completed university studies
  • Pedagogical suitability
  • proof of this is to be provided by a teaching sample
  • Special qualification for deepended independent scientific work
  • which is usually demonstrated by an above-average doctorate
  • Additional academic achievements
  • usually within the framework of a junior professorship
  • a post-doctoral lecture qualification (Habilitation) or achievements equivalent to a habilitation.

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