Assistant Professor in Biometrics

Research / Academic

Biometrics plays an increasingly important role in our society. Examples are fingerprint recognition and face recognition to unlock our mobile phones, and automated passport checks at airports. The rise of Deep Learning models has increased recognition performance enormously, but also the possibilities for, e.g., creating realistic fake data. In addition, deep learning poses a challenge to the explainability of the recognition results. The Data Management & Biometrics (DMB) research group has extensive experience in Biometric research, which is carried out in national and European projects, but also in shorter projects with e.g. the Dutch Police, the Netherlands Forensic Institute, the Dutch Government, and Schiphol Airport. Examples of our recent research are Morphing Attack Detection (MAD), Vein Recognition, 3D Face Recognition and Face recognition at a distance. The DMB group plays an important role as an expertise centre on Biometrics in The Netherlands, and we have a tight collaboration with other research groups on biometrics in Europe in e.g. the iMARS project. In addition, the DMB group offers a Master Track in Computer Vision and Biometrics and teaches courses on Computer Vision, Machine Learning, and Biometrics.

The Data Management and Biometrics group (DMB) is a diverse research group of 11 scientific staff members, around 25 PhDs and 3 supporting staff members. The main research and educational topics are Computer Vision & Biometrics, Applied and Theoretical Machine Learning for a wide range of data types, especially Deep Learning and Explainability, Process Mining, AI in e-Health, and Data Engineering. The DMB group has an open and welcoming atmosphere, with room for scientific and social interactions.

Because of our recent fast expansion, both in numbers of PhD candidates as well as Master Students, we are now looking for an Assistant Professor in Biometrics to support in teaching, research, and acquisition of new projects.

  • You will teach Master's level coursework in courses on Computer Vision and Biometrics.
  • You will supervise bachelor and MSc theses in the area of Computer Vision and Biometrics.
  • You will co-supervise PhD students.
  • You will carry out research in the framework of national and EU projects.
  • You will initiate and acquire new research projects and educational projects.


  • You have a strong interest and have shown the ability to collaborate in an academic, multidisciplinary environment.
  • You have a PhD degree in Computer Science, Electrical Engineering, or a related discipline.
  • Your research expertise is in the area of Computer Vision and Biometrics.
  • You have a good publication record in the above-mentioned areas.
  • An aptitude for teaching, including lecturing and tutoring at an academic level.
  • You have shown a willingness to acquire external funding and are prepared to expand your skills in this aspect.
  • You are fluent in English (knowledge of, or willingness to learn Dutch is an advantage).
  • You have a University Teaching Qualification or equivalent or you are willing to acquire one within three years.

Salary Benefits:

  • We offer a permanent position with a one-year probationary period (formally a 1-year contract with the prospect of a permanent contract) in the Data Management and Biometrics research group.
  • Our terms of employment are in accordance with the Dutch Collective Labor Agreement for Universities (CAO) and include a holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%.
  • Depending on your relevant background and experience, the gross monthly salary on a full-time basis ranges from € 4.332,- (scale 11) to € 6.737,- (scale 12) gross per month.
  • A minimum of 29 leave days in case of full-time employment based on a formal workweek of 38 hours. Full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.
  • A solid pension scheme.
  • Free access to sport facilities on campus.
  • We are a family-friendly institution, which offers parental leave for both parents (both paid and unpaid) and career support for partners.
  • We appreciate the diversity of profiles, cultures, and backgrounds, and promote an inclusive working culture.
  • Furthermore, we offer excellent professional and personal development programs.
  • Finally, you work in a lively, inspiring, and dynamic working environment in an organization focusing on internationalization, where you have a high degree of responsibility and independence.
Work Hours:

40 hours per week


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