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Adjunct associate professor in Data Science

We seek a highly motivated scientist and academic teacher to strengthen data science education.

NMBUÅs13. mai 2024
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Martin Thomas Horsch

Associate Professor, Department Head Data Science


A position as adjunct associate professor in Data Science is available immediately at the Department of Data Science at the Faculty of Science and Technology (REALTEK). The position as adjunct associate professor within data science is 20% (fixed term) and limited to two years with a possibility for an extension.

At REALTEK, you will meet highly motivated students and a vibrant research environment in applied data science with activities in resource-efficient machine learning, few-shot learning, semantic technologies and scientific computing. Application areas range from biomedical imaging via multiscale and multiphysics modeling and computational neuroscience to decision support, process control, natural disasters, robotics and business analytics. We also train engineers across a wide range of fields and high school teachers.

We are looking for a candidate to develop and teach courses which introduce and expose students to the mathematical foundations of techniques that are fundamental to data science and engineering students.

We also expect you to share your expertise with researchers in data science and related fields to enhance existing research as well as develop new research activities. Supervision of MSc and PhD candidates will be an important part of the position.

For details about NMBU, the Faculty of Science and Technology, the Department of Data Science, please see the faculty website https://www.nmbu.no/en/faculties/science-and-technology

Main tasks

  • Teach and evolve courses in machine learning or optimization
  • Supervise master and doctoral students


Required academic qualifications:

  • Doctoral degree in a relevant field, such as data science, informatics, computer science, statistics, applied mathematics, or engineering.
  • Solid research achievements documented through peer-reviewed publications in international journals or conference proceedings
  • The ability and desire to teach.

Desired academic qualifications:

  • Teaching experience in academia, preferably formal training in university pedagogics
  • Ability and interest in strengthening the theoretical understanding of methods introduced in the data science education program
  • Experience in one or more of the following: optimization methods in machine learning, scientific machine learning, machine learning for model reduction, inverse problems in data science
  • Teaching experience in data science or related topics
  • Successful acquisition and management of external funding

Required language skills:

  • Excellent spoken and written English
  • Fluency in Norwegian, Swedish or Danish is an advantage

Required personal skills:

  • Ability to engage students and colleagues

Personal suitability for the position will be emphasized. It is an advantage if you can start in the position before the end of 2024.

NMBU aims to build a more diverse and gender-balanced staff. We therefore encourage women in particular to apply.

Remuneration and further information

The position is placed in government pay scale position code 1011 Associate Professor, salary grade 68-80 (NOK 667 700- 870 900), depending on qualifications. Seniority Promotion in position.

For further information, please contact Associate Professor Martin Thomas Horsch, Department Head Data Science, e-mail: martin.thomas.horsch@nmbu.no, phone: +47 6723 1947.

If you want to get to know REALTEK prior to your application, please contact us and we will seek to offer a tour on campus to show you the work environment and staff. You can also visit us digitally.

The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of their application are seen to conflict with the criteria in the latter law cannot be recruited by NMBU.

Pursuant to the Personal Data Act, we hereby notify you that a list of applicants will be available to the public and that the report of the expert committee will be sent to all applicants.

General Information to applicants


To apply online for this vacancy, please click on the 'Apply for this job' button above. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Application deadline: 13.05.2024

Applicants invited for an interview will be asked to present verified copies of diplomas and certificates.

Your application must contain

  • an application letter describing your motivation for and suitability to the position
  • a CV including a list of publications
  • a description of your academic teaching experience, preferably according to NMBUs guidelines
  • sketches of courses you would like to develop and teach
  • up to ten publications including a description of your contribution to multi-author papers.

About The Faculty of Science and Technology

The Faculty of Science and Technology (REALTEK) develops research-based knowledge and educates civil engineers and lecturers needed to reach the UN's sustainability goals. We have approximately 150 employees, 70 PhD students and soon 1500 students. The education and research at REALTEK cover a broad spectrum of disciplines.

This includes data science, mechanics and process engineering, robotics, construction and architecture, industrial economics, environmental physics and renewable energy, geomatics, water and environmental engineering, applied mathematics as well as secondary school teacher education in natural sciences and use of natural resources such as in agriculture, forestry and aquaculture. The workplace is in Ås, 30 km from Oslo.

What is it really like to work at the Faculty of Science and Technology (REALTEK) at NMBU?

- Guided tour of the Faculty of Science and Technology on Vimeo

Workplace: Universitetstunet 3, 1430 Ås


Frist13. mai 2024


Martin Thomas Horsch

Associate Professor, Department Head Data Science


Offentlig,Fast ansettelse


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The Norwegian University of Life Sciences (NMBU)

NMBU will contribute to securing the future of life through outstanding research, education, communication and innovation. We have the country's most satisfied university students, who receive research-based education in a unique student environment. Our graduates gain a high level of competence in interdisciplinary collaboration and are popular in the labor market. NMBU has internationally leading research environments in several subjects. Together with our partners in society and business, we contribute to solving some of the biggest societal challenges of our time.

We focus on innovation, communication and entrepreneurship because we believe these challenges are best solved with joint efforts. We believe that a good working environment is characterized by diversity.If necessary, workplace adaptations will be made for persons with disabilities. More information about NMBU is available at www.nmbu.no/en