NMBU's focus is a joint effort for a sustainable future. Our university will contribute to securing the future of life, through outstanding research, education, communication and innovation.
NMBU has 1,900 employees of which about 500 phd scholarships and 6,700 students. The university is divided into seven faculties.
NMBU believes that a good working environment is characterised by diversity.
We encourage qualified candidates to apply regardless of gender, functional ability, cultural background or whether you have been outside the labour market for a period. If necessary, workplace adaptations will be made for persons with disabilities. More information about NMBU is available at www.nmbu.no.
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?
We seek a highly motivated scientist and academic teacher to strengthen data science at NMBU.
About the position
A permanent position as associate professor in Data Science is available immediately at the Department of Data Science at the Faculty of Science and Technology (REALTEK). 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, 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 complement and extend research activities in machine learning or data management in areas related to active research fields at REALTEK and NMBU. You will also teach undergraduate and graduate courses in data science. Supervision of MSc and PhD candidates will be an important part of the position.
REALTEK offers new academic staff an onboarding package including priority when distributing university-funded PhD positions and NOK 30.000 in start-up funding.
For details about NMBU, the Faculty of Science and Technology, the Department of Data Science, as well as about detailed requirements for this position, please see our Additional Information for Applicants.
Strengthen and expand data science research at REALTEK in areas relating to active research fields at REALTEK and NMBU
Teach and evolve courses in machine learning or data management and general data science at the undergraduate and graduate level
Supervise master and doctoral students
Establish your own research projects and attract funding from national and international sources
Establish interdisciplinary collaborations on and beyond campus
Participate in academic administration and the continuous development of our study programs and research activities
Required academic qualifications:
Doctoral degree in a relevant field, such as data science, informatics, computer science, statistics, applied mathematics, physics, chemometrics, or engineering
Solid research achievements in data science documented through peer-reviewed publications in international journals or conference proceedings
Experience in international and interdisciplinary research projects
Teaching experience in data science
Experience in supervising master and doctoral students
Competence and experience relevant to NMBU’s focus on sustainability
Successful acquisition and management of external funding
Experience in academic administration
Required language skills:
Ability to teach courses in Norwegian within two years of employment (minimum proficiency level B2). The ability to teach courses given in Norwegian immediately will be considered a significant advantage.
Excellent spoken and written English
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 2023.
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, wage framework 24, salary grade 68–79 (NOK 636.700– 814.900), depending on qualifications; for exceptionally well qualified candidates a higher salary may be negotiable. As an associate professor at NMBU you can apply for promotion to full professor according to national standards.
For further information, please contact Professor Hans Ekkehard Plesser, Department Head Data Science, e-mail: email@example.com; phone: +47 6723 1560.
If you want to get to know REALTEK prior to you 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.
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: 11.04.2023
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