Assistant professor in Artificial Intelligence/ Machine Learning for IOT applications

Research / Academic

To strengthen our Data Analytics team,we are looking for candidates with a strong commitment to excellence in scholarly research and teaching in Advanced Analytics, Machine Learning and Artificial Intelligence. In particular, we seek enthusiastic new colleagues that are interested to combine deep theoretical knowledge with experimentation in domains including, but not restricted to, agro-food, crime and safety.


Teaching is expected to take place in graduate programme classes related to Applied Data Science and/or Machine Learning and one or more of the following areas of expertise:

  • Big Data;
  • Advanced Analytics;
  • Machine Learning;
  • Deep Learning;
  • Artificial Intelligence.

The successful applicants should have a strong academic background and an international profile in the aforementioned expertise areas with a record of research publications in top-ranked field journals (this requirement is obviously dependent on the level to which the candidate is applying). Moreover, relevant experience in obtaining funding and managing national and international research projects will be considered an advantage.


You will be working in our Data Analytics group responsible for the relevant education in our graduate programs with courses such as Advanced Data Mining, Big Data Analytics, Deep Learning, Advanced Network Analytics, Causality & Experimentation and Natural Language Processing. 


We are looking for an enthusiastic colleague with a Ph.D. in computer science, AI, machine learning or related field. Alternatively, a master’s degree plus significant professional experience in AI and machine learning is sufficient. The applicant must have a demonstrated expertise in both practice and scholarship in artificial intelligence and machine learning, signal processing and Internet of Things (IoT) applications. Proven teaching ability is required. A strong industry network is a plus.

Main responsibilities will be:

  • Teach graduate courses and leading co-curricular activities for graduate students;
  • Mentor graduate students;
  • Contribute to the disciplines of artificial intelligence, machine learning, and computer science though industry collaborations, public projects, and research;
  • Ensure that the department's course offerings and priorities remain state-of-the-art and aligned with requirements, expectations, and applications, of industry;
  • Support the growth of JADS through projects, workshops, community, and committee service.

Salary Benefits:

A position at the vibrant JADS Mariënburg campus for five years for 0.8 – 1 FTE as an assistant-professor, with a potential continuation as a tenured assistant/associate professor.
In particular, after two years the contract may be continued either as a tenure track position, or for at least three years as a regular assistant professor position. In case after two years the candidate continues in the tenure track, the position can become tenured after four/five years if the candidate satisfies the tenure requirements of JADS Mariënburg.
Note that the position comes with a very attractive job package that features benefits including pension subsidence, insurance discounts, career support spouses, ample vacation days (41), and a fixed end-of-year bonus (8,3%), to mention but a few.
The gross salary is largely determined by the Dutch labour agreement (CAO NU) for universities, namely scale 11 (a maximum annual gross salary of € 69,500) and we aim to offer a competitive salary within this framework.

Work Hours:

40 hours per week


Sint Janssingel 92