TT Assistant Professor with education profile in Distributed Systems/Big Data (222776)
We are looking for an outstanding academic who is interested in starting a tenure-track that focuses on education, and who can strengthen our teaching and research in Computer Science. Your field of education and research will lie in the area of Computational Infrastructure for Big Data Processing / Distributed Systems, broadly construed.
You will contribute to the BSc and MSc degree programmes of Computer Science. These are ambitious programmes that want to offer highest-quality education, to support and foster personal growth in our students, and that offer a supportive environment where collaboration between colleagues is encouraged.
As Assistant Professor with an education profile you will:
- develop and teach courses in Computer Science, with special attention for Big Data Processing and Distributed Systems
- supervise BSc and MSc students in their final year research projects
- contribute to innovating the BSc and MSc programmes and developing innovative teaching methods
- play a significant role in the development of education at the Faculty of Science and Engineering, both at the course and the programme level
- develop your own research line and/or contribute to the research lines in the Distributed Systems group of the Bernoulli Institute (see below)
- contribute to the supervision of PhD students in the Distributed Systems group
- contribute to the organization of the faculty, for example by participating in working groups and committees, especially in the domain of education.
At the stage of Assistant Professor, 60% of your time is for teaching and education development, 30% for research and 10% for organizational tasks. After five years you will be assessed for tenure and promotion to the level of Associate Professor (see Conditions of employment).
For in-depth information regarding this position (research area, embedding in the Bernoulli Institute, expected contributions, etc.), please consult the profile report: https://www.rug.nl/fse/meet-the-faculty/vacatures/vacatures/structuurrapporten/
We offer you the opportunity to start a career path that focuses on education and to become an educational leader. We encourage you to apply if you have:
- a passion for teaching and education development
- demonstrably excellent teaching qualities
- a PhD degree in Computer Science, Artificial Intelligence, or a related field
- a good track record in research, as shown by publications in international peer-reviewed journals and proceedings of renowned conferences
- at least 2 years of relevant work experience after your PhD (at the time of appointment)
- demonstrable organizational competence
- excellent command of spoken and written English.
And you are:
- willing to obtain a University Teaching Qualification (Dutch: BKO) within three years and a Senior Teaching Qualification (Dutch: SKO) within five years. More information: https://www.rug.nl/society-business/centre-for-information-technology/education/teacher-development/basic-courses/bko-utq?lang=en
- able to work well in an international and culturally diverse environment
- a team player with excellent communication skills who is able to inspire students and colleagues
- able to speak the Dutch language or motivated to speak it within five years (B1 level).
The University of Groningen is a research university with a global outlook, deeply rooted in Groningen, City of Talent. Quality has been our top priority for over four hundred years, and with success: the University is currently in or around the top 100 on several influential ranking lists.
The Faculty of Science and Engineering (FSE) is the largest faculty within the University. We offer first-rate education and research in a wide range of science and engineering disciplines, from classical disciplines such as mathematics, astronomy and mechanical engineering, to interdisciplinary fields such as artificial intelligence, pharmacy and nanoscience. Our community has an open and informal character with students and staff from around the world.
The position we offer will be embedded in the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. Specifically, the successful candidate will reinforce and
complement the education and research activities of the Distributed Systems group. The Bernoulli Institute also accumulates expertise in Cognitive Engineering, Visualization, Cognitive Modeling, Multi-agent systems and Machine Learning. Furthermore, the Bernoulli Institute participates in the new Jantina Tammes School for Digital Society, Technology and Artificial Intelligence.
More information about the research institute: https://www.rug.nl/research/bernoulli/
Conditions of employment
We offer you a full-time tenure-track position as Assistant Professor and:
- a salary, depending on qualifications and work experience, from € 3,974 up to a maximum of € 5,439 gross per month (scale 11, depending on your career stage) for a full-time position
- holiday allowance and end-of-year bonus of respectively 8% and 8.3% of your yearly salary
- a pension scheme
- maternity and parental leave
- the possibility to work part-time (0.8 FTE or 0.9 FTE)
- a personal development trajectory and a mentor program
- dual career support for partners of new faculty members moving to Groningen.
Consult our website for more information about the working conditions at the University of Groningen.
In case of a full-time contract, you will initially be appointed for 7 years and your performance will be assessed after 5 years. This moment may be extended with at most one year in case of a life event (e.g. prolonged illness or maternity leave). If your assessment is positive, you will get a tenured appointment as Associate Professor with an education profile. Please consult this link for more details on the criteria for promotion.
The continuation of the career path after the level of Associate Professor with an education profile is currently being developed. It will include the possibility of applying for promotion to the position of Full Professor with an education profile.
We invite you to submit a complete application including:
- a cover letter in which you describe your motivation and qualifications for the position
- a curriculum vitae, including a list of your publications and a list with names of references
- a list of five self-selected ‘best papers’
- a statement of your vision on teaching and supervision, in particular pertaining to developments in your field, and what you would like to accomplish in our educational programmes
- a description of your scientific interests and plans.
You may apply for this position until 8 January 11:59pm / before 9 January 2023 Dutch local time (CET) by means of the application form (click on "Apply" below on the advertisement on the university website).
The selection interviews will take place by the end of January or the beginning of February.
The University of Groningen strives to be a university in which students and staff are respected and feel at home, regardless of differences in background, experiences, perspectives, and identities. We believe that working on our core values of inclusion and equality are a joint responsibility and we are constructively working on creating a socially safe environment. Diversity among students and staff members enriches academic debate and contributes to the quality of our teaching and research. We therefore invite applicants from underrepresented groups in particular to apply. For more information, see also our diversity policy webpage: https://www.rug.nl/about-ug/policy-and-strategy/diversity-and-inclusion/
Our selection procedure follows the guidelines of the Recruitment code (NVP): https://www.nvp-hrnetwerk.nl/nl/sollicitatiecode and European Commission's European Code of Conduct for recruitment of researchers: https://euraxess.ec.europa.eu/jobs/charter/code
We provide career services for partners of new faculty members moving to Groningen.
Unsolicited marketing is not appreciated.
For information you can contact:
- Prof. A. Lazovik, a.lazovik rug.nl
Please do not use the e-mail address(es) above for applications.