computer science or software development, experience in machine learning and in computer vision and/or robot localization
Assistant professors (UD) / Associate professors (UHD) in Computer Systems
The High Performance Distributed Computing group of the Computer Systems section studies parallel and distributed programming systems in combination with …
- De Boelelaan, Amsterdam, Noord-Holland
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 40 uur
The High Performance Distributed Computing group of the Computer Systems section studies parallel and distributed programming systems in combination with real-world applications. Modern applications with societal impact (e.g., Internet-of-Things, blockchains, Bioinformatics) often need to address a wide spectrum of techniques for data generation and processing, using a range of computing infrastructures from small sensors to big supercomputers. The HPDC group investigates programming environments for modern processors/accelerators and distributed sensor processing systems for IoT, always with experimental evaluations. The group works on several high-performance parallel applications in computer science (e.g., reasoning, machine learning, multimedia), other science domains (e.g., astronomy, bioinformatics, forensic science), and industry/government (blockchains, business analytics). The group has a strong international profile and excellent ties to the other chairs within the computer systems section (Massivizing Computer Systems, led by prof. Alexandru Iosup, and Systems & Network Security, led by prof. Herbert Bos), and with other Computer Science and applications groups.
We are looking for a candidate with a strong international research profile, as shown by publications in top conferences in the area of high performance distributed systems, and a strong track record in teaching computer science courses at university level. The candidate should be able to conduct core systems research, including real-world experimentation (supported by our state-of-the-art experimental wide-area DAS-5 supercomputer), as well as application-inspired research.
All appointments will be for tenure track positions, with an initial contract period of 5 years. Starting dates are negotiable, but should be close to September, 2018. You may find information about our excellent fringe benefits at http://www.workingatvu.nl.
• Remuneration of 8.3% end-of-year bonus and 8% holiday allowance
• Participation in a solid pension scheme (ABP)
• A minimum of 29 holidays in case of full-time employment
The salary will be in accordance with university regulations for academic personnel, and range from a minimum of € 3475,00 gross per month in the first year up to a maximum of € 6438,00 gross per month (salary scale 11 to 14) based on a full-time employment.
For additional information please contact:
Prof. dr. ir. Henri Bal, Head of the Computer Systems section
Note: this is not the submission address
Vrije Universiteit Amsterdam (VU) is a leading, innovative and growing university that is at the heart of society and actively contributes to new developments in teaching and research. Our university has ten faculties, and provides work for over 4,500 staff and scientific education for more than 23,000 students.
Research at the Faculty of Science focuses on the areas of Life & Health, Networked World, Fundamentals of Science, and Energy & Sustainability. The faculty’s teaching activities are directly linked to this excellent research. Cooperation with other faculties on the Vrije Universiteit Amsterdam campus generates attractive, high-quality Bachelor’s and Master’s programmes. At international level, the faculty cooperates closely with leading scientific institutes and other partners.
The VU Department of Computer Science has approximately 170 members, including 35 tenured staff members and 40-50 PhD students. The tenured staff members form the essential basis for the functioning of the department. A tenured staff member is required to make significant contributions to the research and education programmes, and to spend effort on specific tasks at the department level.