The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty’s excellent facilities accentuate its international position in teaching and research. Within this interdisciplinary and international setting the faculty employs more than 1100 employees, including about 400 graduate students and about 2100 students. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics.
The department of Intelligent Systems (INSY) conceptualizes computer science methodologies to sense, abstract, learn, reason, elicitate and adapt data and their meaning in ways that respect human values in order to increase human effectiveness in well-being and social innovation. At the heart of the department is therefore the research and teaching in computer science theory, algorithms and solutions for information processing systems that support humans (e.g. robotics), new products (e.g. internet services), and science (e.g. biology).
- Master’s degree in computer science, math, or physics.
- Strong algorithmic skills
- Has a good background in reinforcement learning or planning under uncertainty (e.g., good understanding of with Markov decision processes).
- Has excellent coding skills and should be proficient in C++
- Has some experience with modern machine learning and/or robotics frameworks (e.g., tensor flow, ROS)
- Is fluent in English
- Is self motivated; has the drive to succeed individually
- Is a team player; has the desire to succeed as a team