You have a proven track record in Computer Science and would like to advance your research in modern computing infrastructures to address both high-performance and energy efficiency. You initiate, perform and supervise high-quality research that aims to address the increasing energy consumption of modern computer systems and software-intensive applications, especially in (but not limited to) high-performance areas like supercomputing, large-scale distributed services, real-time sensor processing, and distributed ledgers. Your aim is to study novel solutions and empirically evaluate their impact. Your duties The tenure track position is starting at the level of assistant professor in the areas of research, education and management (40%:40%:20%), and contains among others the following duties:

• you develop your own research line and profile your research around it
• you acquire and contribute to externally funded research projects of the group you will be affiliated with
• you teach courses in the BSc and MSc Computer Science curriculum and supervise students
• you assist in the supervision of PhD students and contribute to the management of the group or the department

• you have a PhD degree in Computer Science, Software Engineering, or a similar area
• you have affinity with environmental awareness and are able to do research on the combination of energy-efficient computing and one of  the following: IoT and distributed sensing, Edge and/or Fog computing, High-Performance computing, Distributed software-intensive applications
• you have experience with experimental and empirical research
• you have published in the top venues of your field
• you have strong communication and cooperation skills, and ability to work in a team
• you have teaching and/or student supervision experience at BSc and/or MSc programs level
• you preferably have experience in supervising PhD projects
• you have experience with (or good prospects for) acquiring external research funding
• you have an excellent command of the English language.

Fixed-term contract: 5 years.

A challenging and rewarding position in a socially involved organization. On a full-time basis the remuneration amounts to a minimum gross monthly salary of € 3,637 and a maximum of € 4,978 in accordance with salary scale 11, depending on your education and experience. The job profile (Assistant Professor 2) is based on the university job ranking system and is vacant for at least 0,8 FTE.

This is a tenure-track position; the initial appointment will be for a period of five years. Based on performance indicators agreed at the start of the appointment and not depending on competition with others, a tenure-track position will lead to a tenured position of UD1 in a period of maximally 5 years. In the fifth year of the appointment the tenure decision will be taken and a midterm review will take place in 2,5 years’ time after starting date.Additionally, Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes and regulations to promote a good work/life balance, such as:

• a maximum of 41 days of annual leave based on full-time employment
• 8% holiday allowance and 8.3% end-of-year bonus
• solid pension scheme (ABP)
• contribution to commuting expenses
• optional model for designing a personalized benefits package
• good child day-care facilities available on campus
• good paid parental leave arrangement

The ambition of Vrije Universiteit Amsterdam is clear: to contribute to a better world through outstanding education and ground-breaking research. And to be a university where personal education and societal involvement play a leading role. Where people from different disciplines and backgrounds work together on innovations and on generating new knowledge. Our teaching and research embrace the whole spectrum of science – from the humanities, the social sciences and the pure sciences through to the life sciences and the medical sciences.

Vrije Universiteit Amsterdam is home to more than 26,500 students. We employ more than 4,600 individuals. The VU campus is easily accessible, located in the heart of Amsterdam’s Zuidas district, a truly inspiring environment for teaching and research.

Diversity
Diversity is one of our university’s core values. We are an inclusive community, and we believe that diversity and international activities enhance the quality of education and research. We are always looking for people who can enhance diversity on our campus thanks to their background and experience.

The Faculty of Science
The Faculty of Science inspires researchers and students to find sustainable solutions for complex societal issues. From forest fires to big data, from obesity to medicines and from molecules to the moon: our teaching and research programmes cover the full spectrum of the natural sciences. We share knowledge and experience with leading research institutes and industries, both here in the Netherlands and abroad.

Working at the Faculty of Science means working with students, PhD candidates and researchers, all with a clear focus on their field and a broad view of the world. We employ more than 1,250 staff members, and we are home to around 6,000 students.
 
About the departmentThe department of Computer Science has approximately 170 staff members, including 35 tenured staff and 40-50 PhD students. Much of the research with the department is embedded in the Network Institute of Vrije Universiteit, covering beyond Computer Science and Artificial Intelligence disciplines such as Social Sciences, Humanities, and Economics. The Department also actively participates in Amsterdam Data Science, a collaboration between more than 600 data science researchers from different institutions in Amsterdam.This position fills a vacant role in the High Performance Distributed Computing (HPDC) group. Within the department, several groups are further involved in this position, in particular the Massivizing Computer Systems group (with HPDC, part of the Computer Systems section) and the Software and Services group (part of the Information Management and Software Engineering section).The department explicitly encourages inter- and cross-disciplinary research, and expects successful candidates to collaborate with colleagues in other fields of Computer Science, as well as with colleagues from other disciplines such as those participating in the Network Institute and in Amsterdam Data Science.