As an Assistant professor you have a broad interest in artificial intelligence teaching and research, which is embedded in a typical computer science context. You will develop, teach, assess and evaluate coherent scientific courses within the new master's programme in Artificial Intelligence, and in conjunction with relevant courses in the bachelor's programme in Computer Science or the master's programmes in Software Engineering and Computer Science. You will also supervise students' learning processes, including graduation projects from these programmes. In addition, you will conduct and acquire research (second and third funding streams) in line with the research programme 'Towards high-quality and intelligent software' (2020-2025), which includes lines of research in the field of software quality, security & privacy, artificial intelligence and computing education. You will act as a supervisor for PhD candidates, regularly publish (inter)nationally, and actively disseminate the results of your own research and developments in the field. You will participate in working groups, committees and/or project teams within the faculty.

Candidates must meet the following criteria:

• a Ph.D.- degree (or almost completed) in the field of artificial intelligence, computer science, or data science; (extensive) (international) research experience in one of the areas of artificial intelligence;
• scientific creativity, productivity and impact at your disposal, as evidenced by various publications;
• proven experience in raising external funds;
• affinity with artificial intelligence education (and possibly computer science education) and interested in, for example, machine/deep/reinforcement learning, automated reasoning, knowledge representation, explainability, uncertainty formalisms, where the focus can be both theoretical and applied
• (broad) teaching experience with various teaching methods (such as blended learning, project supervision, supervision of thesis projects;
• good interpersonal and communication skills and a team-player;
• in possession of the Basic qualification for academic teaching (BKO) from a Dutch university, an equivalent teaching qualification, or a willingness to obtain it;
• a command of the Dutch language or willingness to learn it;

We also invite candidates who do not yet fully meet this profile to respond.

Fixed-term contract: for a period of 4 years with a prospect of tenure (i.e., a permanent position) in the event of good performance. We are open to discuss secondment or other arrangements.

The salary will be determined on the basis of your experience and qualifications, but will be in accordance with the general salary scales 11-12 of the CAO-NU. An indication of the maximum gross salary is € 5.826.-  per month, for a full-time appointment.

The OU provides good secondary benefits such as training, mobility, part-time employment and paid parental leave.

Open Universiteit

The Open Universiteit of the Netherlands
The Open Universiteit (OU) is the university in the Netherlands where students study part-time and follow online and activating education in bachelor and master degree programmes in seven fields of study. Characteristics of the education are openness, flexibility and quality. Enhancing the study success of students is an important point of focus. More than 15.000 students are studying at the OU and it has nearly 700 employees. The OU has a network of regional study centres in the Netherlands and in Belgium (Flanders) (https://www.ou.nl/studiecentra). The head office is situated in Heerlen.

State of the art technologies and educational insights are applied in bachelor and master programmes and courses as well as in projects and programmes with partners. Both nationally and internationally the OU plays a key role in the innovation of higher education. Education and research are closely interrelated which guarantees that the current state of science is applied in education. The OU invests in research in the various academic disciplines, as well as in research in the field of learning, teaching and technology.

Top rankings
For several consecutive years, the OU has achieved top positions in the lists of the fourteen Dutch universities in the National Students’ Survey, the Dutch university guide ‘Keuzegids Universiteiten’ (in which the ratings by students and experts of the bachelor studies of the fourteen universities are compared), and the Dutch university guide ‘Keuzegids Masters’. In addition all study programmes rank highly in the study-specific rankings of the universities. All ratings are available on the website (https://www.ou.nl/rankings).

Faculty of Science

The faculty of Science is one of the six faculties of the OU of the Netherlands. Education, research and valorisation are the main tasks. The faculty offers academic bachelor and master programmes in the fields of Computer Science, Information Science, Environmental Sciences, and an Artificial Intelligence master programme is currently under development. The faculty’s research programme focuses on Innovating for Resilience. Furthermore, the faculty is partner in the Center for Actionable Research of the OU (CAROU). The faculty has Ph.D.-students who conduct research on various current topics within the research programme. As a result of the interdisciplinary focus on education and research, as well as the close link with practice, work at our faculty provides many innovative and challenging opportunities for entrepreneurial researchers.

Department of Computer Science
The Department of Computer Science is an enthusiastic and ambitious group of approximately 35 people (29 fte) focussing on artificial intelligence, educational and learning technology, software quality, and security and privacy issues. The group contributes to these challenges through excellent research and online teaching programmes, covering a large diversity of topics, e.g. deep learning applications in industry, intelligent tutoring systems, privacy-aware technologies, reinforcement learning, e-health applications, Bayesian networks, cyber-security, automated software testing, and responsible AI. The department’s research lines are presented in the research strategy “Towards high quality and intelligent software” for 2020-2025. The online academic educational programmes of this Department have received the highest accolades in the country in this domain for years.