Job description

The newly established research group “Open World Lifelong Machine Learning (OWL-ML)” at the University of Bremen focuses on modern lifelong machine learning methods and foundations of lifelong artificial intelligence. Respective research spans a variety of central building blocks that are expected to advance current systems with respect to rapid adaptation, sustainability, and robustness. Research topic examples are continual learning, knowledge transfer, memory, learning from heterogeneous data streams, as well as neuro-inspired lifelong learning, intentional forgetting or unlearning, and ethical considerations for system remediation and participatory practice.

Tasks:

• Research and teaching support for lifelong machine learning  
• Co-supervision of project work and student theses
• Self-driven research and dissemination of publications
• Support and co-organization of international workshops and conferences

The position is further associated with 4 weekly hours of scientific tasks in co-supervision of lectures in computer science, machine learning, and artificial intelligence.

We offer:

• The opportunity to complete a doctorate
• Involvement in research projects in a dynamic and internationally connected team
• Extensive support for your research ambitions
• The freedom to conduct self-driven research

Requirements

• Above average master's degree (or equivalent degree/university diploma) in computer science, artificial intelligence, cognitive science, or a related discipline
• A solid background in at least one of the following fields: machine learning, ethical AI, or cognitive science
• Fluency in English
• Excellent programming skills
• Commitment to contribute to teaching
• Ability to learn and understand new topics rapidly and extensively

General Information

Open to unconventional approaches in research and teaching, the University of Bremen has retained its character as a place of short distances for people and ideas since its founding in 1971. With a broad range of subjects, we combine exceptional performance and innovative potential. As an ambitious research university, we stand for research-based learning approaches and a pronounced interdisciplinary orientation. We actively pursue international scientific cooperation in a spirit of global partnership. Today, around 23,000 people learn, teach, research and work on our international campus.

In research and teaching, administration and operations, we are firmly committed to the goals of sustainability, climate justice and climate neutrality. Our Bremen spirit is expressed in the courage to dare new things, in supportive cooperation, in respect and appreciation for each other. With our study and research profile and as part of the European YUFE network, we assume social responsibility in the region, in Europe and in the world.

The University is family friendly, diverse, and has a self-understanding of being international. We thus invite all applications, independently of gender, nationality, ethnic and social background, religious beliefs and world views, disability, age, sexual orientation or identity.

The University of Bremen intends to increase the proportion of women in the academic field and therefore explicitly encourages women to apply.

Disabled applicants with essentially equal professional and personal qualifications will be given priority.

If you have any questions regarding the job advertisement, please email: Prof. Dr. Martin Mundt (mundtmprotect me ?!uni-bremenprotect me ?!.de)

Please send applications with the usual documents (cover letter, CV, MA thesis, certificates) by 10.12.2024, quoting the reference number A321-24, by email to mundtmprotect me ?!uni-bremenprotect me ?!.de
or by postal mail to:

Universität Bremen
Fachbereich 3
z.Hd. Herrn Prof. Dr. Martin Mundt
Postfach 330 440
28334 Bremen / Germany

We kindly ask you to send us only copies (no portfolios) of your application documents as we cannot return them. They will be destroyed after the selection process has been completed. Any application costs cannot be reimbursed.