DTU Tenure Track Assistant Professor or Associate Professor in Machine Learning

Thursday 25 Mar 21

Apply for this job

Apply no later than 25 April 2021
Apply for the job at DTU Compute by completing the following form.

Apply online

At the Section for Cognitive Systems at DTU Compute we have two openings as Tenure Track Assistant / Associate Professors in Machine Learning. If you are a talented researcher within all branches of machine learning research, including but not limited to algorithms and theory, reinforcement learning, causal modeling or applications in e.g., the neuro, social or natural sciences, you could be our new colleague. As a colleague in the Section for Cognitive Systems you will be part of a large, vibrant and welcoming environment which is internationally rooted. The university is located in the greater Copenhagen area, which is acknowledged for its excellent standards of living, childcare and welfare system.

The assistant professor position is part of DTU’s Tenure Track program. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. We develop talent by offering a career mentor, state-of-the-art research infrastructure, and postgraduate teacher training. DTU’s Tenure Track is an appointment of at most six years, during which you will receive career support in the form of professional and personal guidance. At the end of the tenure track appointment you will be evaluated by an external assessment committee, who will assess your appointment to a permanent Associate Professorship. Read more about the DTU Tenure Track program at DTU at this homepage

Responsibilities and qualifications
Your focus will be to strengthen our research and education within machine learning, and your profile will contribute to DTU’s strategic focus on sustainable transformation and digitalization as well as providing Europe’s best engineering education. You are enthusiastic about your research and have a strong passion for teaching. You have international ambitions and work published at leading machine learning venues, e.g., NeurIPS, ICML, ICLR, AAAI, AISTATS or CVPR.


You will become responsible for the teaching of courses. You will be expected to learn Danish and be able to teach in Danish after 3 years. DTU can provide Danish language courses.

As formal qualification you must hold a PhD degree (or equivalent). If you are applying for the associate professor position you should also have academic qualifications equivalent to those obtained by holding an assistant professorship and documented didactic/pedagogic training. 

You will be assessed against the responsibilities and qualifications stated above and the following general criteria:

  • Experience and quality of teaching
  • Research experience
  • Research vision and potential
  • International impact and experience
  • Societal impact
  • Innovativeness, including commercialization and collaboration with industry
  • Leadership, collaboration, and interdisciplinary skills
  • Communication skills

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The salary for the position will be determined by the applicants qualifications and in agreement with the relevant union. Further information on qualification requirements and job content may be found in the Ministerial Order on Job Structure for Academic Staff at Universities.

Further information
Further information may be obtained from Head of Section Lars Kai Hansen, mobile +45 5180 1473, e-mail: lkai@dtu.dk

You can read more about DTU Compute and the Section for Cognitive Systems at www.compute.dtu.dk.  

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark

Application procedure
Please submit your online application no later than 25 April 2021 (Danish time)Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • Application (cover letter)
  • Vision for teaching and research
  • CV including employment history, list of publications (applicants applying for the position as associate professor should indicate scientific highlights), H-index and ORCID (see http://orcid.org/)
  • Teaching portfolio including documentation of teaching experience
  • Academic Diplomas (MSc/PhD)

You can learn more about the recruitment process here.

In the field “Please indicate which position you are applying for”, please indicate whether you are applying for the position as Associate or Assistant Professor.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

DTU Compute
DTU Compute is a unique and internationally recognized academic environment spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard - producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,000 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.