DTU Compute's section for Algorithms, Logic, and Graphs (AlgoLoG) invites applications for our next assistant or associate professor within logic and logic-based artificial intelligence or algorithms and data structures. The AlgoLoG section focuses on research in the foundations of computer science and discrete mathematics and application in industry.  We are looking for outstanding researchers with an innovative mindset and intellectual curiosity to strengthen and complement the research and teaching of section. We offer a world-class research environment at DTU, excellent opportunities for industrial collaborations and innovation, and teaching ambitious engineering students. 

The university is in the greater Copenhagen area, which is acknowledged for its excellent standards of living, childcare and welfare system.

Responsibilities and qualifications
We seek ambitious candidates with a strong research focus as well as an ambition to deliver high-quality teaching, and envision the position to help expand the section’s research within one of the following areas:

  • Logic and logic-based artificial intelligence.
  • Algorithms and data structures.

You will work closely with colleagues at the AlgoLoG section. You are expected to seek out collaboration with academic and industrial partners nationally and internationally.  You will be responsible for teaching courses and supervise students at all levels (including BSc, MSc, and PhD). You should be able to teach within:

  • Introductory courses on programming, artificial intelligence, algorithms, and discrete mathematics.
  • Advanced courses within logic, artificial intelligence, algorithms, and/or data structures.

DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are expected to master both.

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 allowance will be agreed upon with the relevant union. Starting date is 1 January 2023 (or according to mutual agreement). The position is a full-time position.   

The assistant professor position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Professor Philip Bille, Head of AlgoLoG section, phbi@dtu.dk.

You can read more about DTU Compute 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 1 October 2022 (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)

To apply please follow this link: Associate Professor or DTU Tenure Track Assistant Professor in Logic-Based Artificial Intelligence or Algorithms and Data Structures

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.

Applications received after the deadline will not be considered.

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 department with 385 employees and 11 research sections 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. At DTU Compute we believe in a diverse workplace with a flexible work-life balance.

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 13,400 students and 5,800 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.



Job details
Education field:
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Work experience is not required
Language skills:
  • English
  • Fluent
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