Research Assistant/Associate (f/m/d)
- 0241 80 21601
- Send Email
Lehrstuhl für Informatik 6 (Maschinelles Lernen)
The Representation, Learning, and Planning Lab (RLeap) is a new research lab within the Chair of Machine Learning and Reasoning at RWTH Aachen. The lab and the chair are headed by Prof. Dr. Hector Geffner, an Alexander von Humboldt Professor in the Computer Science Department. The aim of the lab is the development of methods and representations for learning to act and plan in ways in which the learned components can be reused in a flexible and goal-oriented manner. The research is funded by the Humboldt Foundation, an Advanced ERC Grant, and RWTH Aachen, and builds on ideas and methods from different areas in AI and Machine Learning: deep learning and deep reinforcement learning, planning and knowledge representation and logic and and combinatorial optimization. Our approach is a form of top-down representation learning based on a clear separation between what is to be learned and how. More generally, we seek a tight integration of data-based learners and model-based reasoners (solvers) that can inform, enhance, and complement each other in order to make AI systems that are more reliable, more transparent, and more adapted to human interaction.
Details at https://www-i6.informatik.rwth-aachen.de/~hector.geffner/rleap.html.
We are looking for highly motivated and talented Postdocs with a strong technical background and a track record in these areas that are eager to join us and make a difference in these problems.
You have a doctorate/PhD in computer science or related discipline.
You have a good background in AI and Machine Learning.
You have presented your work at top conferences or leading journals.
You have taken a look at some of our papers.
You have a solid technical background in CS and a strong interest in research in the area.
You are very good programmer and like to do experimental work in CS, but can process theoretical work.
You have a crisp sense of understanding and need to understand things deeply.
You can supervise Bachelor and Master students, and are willing to co-supervise PhD students.
You have excellent language skills (English).
Your Duties and Responsibilities
You will do cutting-edge research in one of the top groups in planning and learning.
You will present your work at top conferences and journals.
You will supervise Bachelor and Master students working on related topics.
You will co-supervise PhD students.
You will have some involvement in teaching.
You will help us in other academic or administrative tasks if needed.
Interested candidates should send a CV, transcripts, contact details of three references, and a research statement to Stephanie Jansen, preferably to: email@example.com.
What We Offer
The successful candidate will be employed under a regular employment contract.
The position is to be filled at the earliest possible date and offered for a fixed term initially for 2 years.
An extension of the employment is possible.
The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).
This is a full-time position.
The salary is based on the German public service salary scale (TV-L).
The position corresponds to a pay grade of EG 13 TV-L.
RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket.
RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.
As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.
You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union's General Data Protection Regulation (GDPR) at http://www.rwth-aachen.de/dsgvo-information-bewerbung.
|Mailing Address:||RWTH Aachen University|
Lehrstuhl für Informatik 6 (Maschinelles Lernen)
Applicants are invited to submit their applications via email. For data protection reasons, however, we recommend sending applications via mail.