We are happy to invite applications for an Assistant Professor (Tenure Track) or Associate Professor position in machine learning, with a particular focus on Reinforcement Learning and Causality. We welcome candidates with interest in exploring the intersection between causal inference and reinforcement learning or other forms of sequential decision making, with a particular preference for applications in any of the fields of health, safety/security, energy transition and sustainability.

The successful candidate will be embedded in TU Delft’s vibrant AI community (http://ai.tudelft.nl), and have the opportunity to collaborate in the context of local networks, such as the “Convergence initiative” (https://convergence.nl) or the ELLIS Unit Delft (http://ellis.tudelft.nl), as well as extending their own international network.  

We offer a full-time position (0.8 - 1 FTE). Our new colleague will have demonstrated excellence in research and preferably have some experience in teaching and supervision of students. The responsibilities include:

• Setting up a successful research program relating to reinforcement learning and causality.
• Acquiring and managing externally funded projects.
• Contributing to our teaching programs.
• Supervising students at various levels (Bachelor, Master and PhD).

Furthermore you are expected to develop a research line that relates to reinforcement learning and questions regarding causality, thus contributing to the departments theme on sequential decision making. You are willing to collaborate with other researchers in the department, faculty and broader university, for instance in the context of the ELLIS Unit Delft.

In case of demonstrated extensive experience in a similar role, the candidate could be appointed as an Associate Professor (without tenure track).  

You are a university graduate with a PhD in Computer Science, Artificial Intelligence, Data Science, Statistics, Probability or a related field. You have a proven track record in a research field related to machine learning, evidenced by refereed publications in top conferences and/or journals.

Additionally, we would value the following:

• You are a motivating role model in your field, who takes initiative to develop activities to drive the field forward and you can encourage involvement and actions in others.
• You enjoy working together and have great networking and collaboration skills.
• You show the potential to be an inspired and dedicated teacher.
• You possess good communication skills and are excellent in English.

The successful candidate is expected to develop a research line that relates to reinforcement learning and questions regarding causality, thus contributing to the departments theme on sequential decision making. He or she should be willing to collaborate with other researchers in the department, faculty and broader university, for instance in the context of the ELLIS Unit Delft. 

Fixed-term contract: 6 year.

The vacancy is at the level of assistant professor (Tenure track) or associate professor, depending on background, experience and leadership(potential).

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. Besides the salary you also receive an annual holiday payment of 8% and an end of year bonus payment of 8.3%. The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.

You can find more information here.

• Salary scale 11-12: €3.974,-- to € 6.181,-- per month gross (assistant professor position)
• Salary scale 13-14: € 5.506,-- to € 7.362,-- per month gross (associate professor position)

We offer a competitive starting package that matches to the seniority resource requirements of the candidate, and also offer access to world-class infrastructure and administrative support in one of the top Engineering and Technology Universities in the world.

For international applicants we offer the Coming to Delft Service and Partner CareerAdvice to assist you with your relocation. An International Children's Centre offers childcare and there is an international primary school.

Inspiring, excellent education is our central aim. We expect you to obtain a University Teaching Qualification (UTQ) within three years if you have less than five years of teaching experience. This is provided by the TU Delft UTQ programme.

TU Delft sets high standards for the English competency of the teaching staff. While our curriculum is fully English, we offer complementary courses to those who desire to learn the Dutch language.

Delft University of Technology

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.