Post-doc in Big Data and machine learning for systems development


The Faculty of Technology, Natural Sciences, and Maritime Sciences has a vacancy for a position as postdoc in Big Data from 01.05.2021.

The position is attached to the Department of Science and Industry Systems and reports to the Head of Department. The place of employment is Kongsberg.

Our Systems Engineering research program is positioned towards the industry needs to cope with disruptive technologies and innovation. We collaborate with a number of national and international universities. Systems Engineering, systems architecting, digitalization, sustainability and human-centered design are key areas of focus for our research. We strive to help our industry to create systems that generate values for the company as well as for people, our society, and the environment. Our staff is internationally recognized, and nationally merited. We received the Quality in Higher Education Award in 2019 by the Norwegian Ministry of Education for our close collaboration with industry.

The position is connected to an industry-driven R&D project that includes the following high-tech companies:

•      Semcon, Ulstein Gruppen, Kongsberg Maritime, Kongsberg Defence and Aerospace, Indra Navia, Kongsberg Innovasjon, Statens Kartverk i Norge og Technip FMC. 

And universities:

•      University of South-Eastern Norway (USN), Arkitekt- or Design Høgskolen i Oslo (AHO), ETH Zürich, Chalmers Tekniska Högskola.

The title of this research project is: “Harvesting value from Big data and Digitalization through a Human Systems-Engineering Innovation Framework”, H-SEIF.

The Norwegian high-tech industries face rapidly changing market needs. The customers demand new and integrated systems that are attractive to use. The partner companies, supplying complex systems in challenging markets, must increase the effectiveness of their engineering and innovation processes. These high-tech industries search for methodologies that increase their value proposition, cope with complexity, and at the same time reduce development risk. The behaviours of large scale complex systems are hard for people to understand and visualize the behaviours, especially before they are made. Such systems, have abundant related data from multiple sources, both operational (in-company) and contextual (public). In the project we will create a collaborative framework to enhance effective systems development, specifically directed towards making data-supported early decisions.

The Candidate will have a central position within the project, and collaborate with professors and master’s students at USN as well as the industry partners.

The candidate will be responsible for one of the project’s main objectives:

  • Create a package of easy-to use data analytic methodologies applicable for the companies.

The candidate should also help on two of the other main objectives:

  • Identify contextual and in-system data (facts) needed in early-phase product development to adapt innovations to user needs.
  • Establish a process that help people identify and apply their data to develop service solutions for users of their system of interest. The overall goal is to accelerate business by digitalization of services.

The appointment is for a period of two years with possibility for extention.HSEIF Project&Dudani,Palak(Ed.).(2020).



Applicants to the position should have a Norwegian doctorate or equivalent education abroad in Data Analytics, Systes Architecting, Knowledge Management, Machine Learning, Mathematics, Physics, Statistics, relevant engineering or computer science discipline, or equivalent. If no qualified applicants with a PhD, candidates with Master’s levels or equivalent higher education qualifications will be considered.

The candidate will work in a professional network of academics and industry experts. We search for a candidate motivated to share his or her knowledge and interact with industry. Collaboration between staff members is an integrated part of the working atmosphere at the University of South-Eastern Norway. The candidate must be motivated and demonstrate a proven ability to work effectively within a team and in a collegiate manner to formulate and realise common objectives.

Personal suitability for the position will be emphasized.

We are looking for a person with several of the following skills:

  • Systems Engineering, product development, Data scientist, Software engineer, mathematics, physics, statistics, numerics, or other relevant engineering, natural science or data scientist discipline.
  • Data management, data science and AI.
  • Open for travel to all partners within Norway.
  • Open for staying part time in the premises of the industrial partners.
  • Good communication skills.
  • Collaboration skills.
  • Self-driven.
  • Very good command of English or a Scandinavian language.

We offer

  • A professionally stimulating working environment.
  • A unique insight into product development in high-tech companies.
  • Colleagues with academic and industrial experience.
  • Good opportunities to develop your career and your academic skills.
  • A good social environment.
  • A growing academic organization with strong ties to industry.
  • Attractive welfare benefits in the Norwegian Public Service (State Pension Plan).
  • Opportunity for having fun and learn within working hours.


Postdoctor (postdoktor) (code 1352): NOK kr 555 800 – 694 400. a year, depending on seniority. In special cases, higher salary may be considered. Statutory amounts for the Norwegian Public Service Pension Fund will be deducted from salary.
The person appointed must comply with the laws, regulations and agreements that apply at any given time to the post.

Additional information

The appointing body is the appointments committee for teaching and research posts at the University of South-Eastern Norway. An expert committee will assess the applications. Based on the committee’s recommendations, relevant applicants will be invited to an interview and a trial lecture.

The person appointed must comply with the laws, regulations and agreements that apply at any given time to the post.

According to our human resources policy, it is our aim that our employees, to the fullest extent possible, shall reflect the diversity of the general population. We therefore encourage all qualified candidates to apply for the post. We endeavor to further develop as an inclusive workplace and to adapt your workplace if required. You are also welcome to apply for a position with us if you have experienced periods where you have not been in employment, education or training.

Pursuant to section 25, 2nd paragraph of the Freedom of Information Act, information on the applicant may be disclosed even if the applicant has requested not be included on the list of applicants. Applicants will be notified if such requests are not allowed.HSEIF Project&Dudani,Palak(Ed.).(2020).

Contact information

For more information about the position, please contact: 
Professor Kristin Falk, phone/mail:  +47 975 86 909 / or Associate Professor Elisabet Syverud +47 413 60 488 / at Faculty Technology and Maritime Sciences / Department of Science and Industrial Systems.

For more information about the Process, please contact:
HR Karianne Wolff-Sørensen Wiken, mail:

How to apply

The University of South-Eastern Norway makes use of online application management. Applicants to the post must register their application and CV with enclosures online via the Jobbnorge recruitment portal by clicking on the link on the right-hand side –  “Søk stillingen” (Apply for the post).

The application must include the following documents:

  • Certified diplomas and certificates from university college/university
  • Master’s thesis
  • Any scientific publications and a list of these
  • Three references (contact information)

Please note that all documents must be in a Scandinavian language or in English. Any translations must be certified.

Click here to read more about the recruitment process for scientific posts at the University of South-Eastern Norway.

Each applicant is responsible for ensuring that the requested documentation has been uploaded with the application within the application deadline!

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