The Human Resources Strategy for Researchers

A Postdoctoral position in Artificial Intelligence

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    NTNU Norwegian University of Science and Technology
    Computer scienceOther
    Recognised Researcher (R2)
    19/06/2019 23:00 - Europe/Brussels
    Norway › Trondheim

We have a vacancy for a postdoctoral position in Artificial Intelligence at the Department of Computer Science (IDI).

The Norwegian Open AI Lab (see https://www.ntnu.edu/ailab) currently has a vacancy for a postdoctoral position (postdoc), with location NTNU’s Trondheim campus. The postdoc will mainly perform research on next-generation artificial intelligence and machine learning methods, taking advantage of recent advances in machine learning, stochastic optimization, probabilistic graphical models, and deep learning. The research results are expected to be applicable in several domains, including Internet of things (IoT), telecommunication, geoscience, natural language understanding, human computer interaction, etc.

The position reports to the Head of the Department, who is collaborating with Professor Ole Jakob Mengshoel in Computer Science at NTNU (see (https://www.ntnu.edu/employees/ole.j.mengshoel) and Adjunct Faculty in Electrical and Computer Engineering at CMU (see https://www.ece.cmu.edu/directory/bios/mengshoel-ole.html). Feel free to contact him for further details at ole.j.mengshoel@ntnu.no.

The position reports to Head of department

Main duties and responsibilities

Machine Learning (ML) is increasingly used in many different applications. Recent advances, for example in recommender systems, autonomous driving, natural language, and Web search, are partially due to substantial progress in ML. Within ML, recent and ongoing dramatic improvements in data acquisition capabilities are presenting new challenges and opportunities. For example, the new 5G pilot running in Trondheim from the autumn of 2019 presents exciting opportunities, as does ESA’s Copernicus project (see https://scihub.copernicus.eu/).

Despite several successes, the current state-of-the-art in ML suffers from some drawbacks, making it difficult to introduce in certain applications. In this research, we will investigate and develop novel ideas at the interface of machine learning, stochastic optimization, probabilistic graphical models, and deep learning in order to address some of the deficiencies in the field. Particular focus will be placed on AI that is not only accurate, but trustworthy and explainable. You will carry out research on this topic in collaboration with Prof. Ole J. Mengshoel. The focus will be on theory, methods, and data. Data may come from real-world sensors or from simulations.

Qualification requirements

The position requires strong English oral and writing skills as the candidate will be interacting with international researchers. The job will include writing, publishing, and presenting of articles and papers in premier English-language publication venues.

If the applicant's PhD is not from an English-speaking country, the following tests can be used as documentation: TOEFL, IELTS and Cambridge Certificate in Advanced English (CAE) or Cambridge.

Certificate of Proficiency in English (CPE). Minimum scores are:

  • TOEFL: 600 (paper-based test), 92 (Internet-based test)
  • IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted)
  • CAE/CPE: grade B or A


A postdoctoral research fellowships is a qualification position in which the main objective is qualification for work in academic positions. Completion of a Norwegian doctoral degree in Artificial Intelligence, Machine Learning or equvivalent is required, or corresponding foreign doctoral degree recognized as equivalent to a Norwegian doctoral degree is required. PhD students in their last year are invited to apply; employment will then be postponed until the PhD degree is finished.


The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, post doctor and research assistant.

Other qualifications

The candidates should have the following qualifications:

  • Strong background in one or more of the following disciplines: artificial intelligence, computer science, machine learning, optimization, or statistics
  • Strong applied mathematical skills – in one or more of these disciplines: discrete mathematics, mathematical modelling, optimization theory, probability, statistics, or theoretical computer science
  • Excellent programming skills - in one or more of: C++, Java, Julia, Lisp, Python, or Scala
  • Demonstrated research capability via a good publications record
  • Demonstrated ability to work independently as well as collaboratively

The following qualifications will be considered as an advantage:

  • Hands-on expertise with incremental machine learning from massive IoT data sources
  • Experience with participation in collaborative research projects (e.g., EU, national)
  • Excellent written and oral Scandinavian language skills

In extraordinary circumstances, formal documentation of language skills can be relinquished. In such cases, the candidate’s language skills will be assessed in a personal interview.

Potentially successful candidates may be interviewed in person, via Skype (or similar), or via other means.

Personal characteristics

Strong analysis skills, capabilities for abstract and mathematical thinking as well as programming and working with data from experiments and applications

  • Strong writing skills, capable of synthesizing and expressing complex ideas clearly
  • Team player, collaborative, and respectful; values the inputs and opinions of others
  • Self-motivated, ambitious, resilient, resourceful, result-oriented, and independent

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience, and personal suitability, in terms of the qualification requirements specified in the advertisement.

We offer

Salary and conditions


Postdoctoral candidates are remunerated in code 1352, and are normally remunerated at gross from NOK 515 200 before tax per year. From the salary, 2 % is deducted as a contribution to the Norwegian Public Service Pension Fund.

The period of employment is 2 years without required duties.


Appointment takes place on the terms that apply to State employees at any time, and after the appointment you must assume that there may be changes in the area of work.

General information

A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. Under the Freedom of Information Act (offentleglova), information about the applicant may be made public even if the applicant has requested not to have their name entered on the list of applicants.

Questions about the position can be directed to Ole Jakob mengshoel, e-mail ole.j.mengshoel@ntnu.no, or to the Head of the department, Professor John Krogstie, email: john.krogstie@ntnu.no

About the application:

  • One-page cover letter including an explanation of how the candidate’s research interests and background would fit the position
  • Information about education and relevant experience (academic CV)
  • Copies of academic diplomas, transcripts, and certificates
  • Applicants from universities outside Norway are kindly requested to include a document describing in detail the study and grading system and the rights for further studies associated with the candidate’s obtained degree
  • A short essay (up to 2000 words) describing his/her view of the main research challenges in the area of research discussed under "Job description" above
  • The PhD thesis and other publications (a maximum of 5 publications) relevant to the research scope and any other work which the applicant wishes to be taken into account should clearly indicate the applicant's contribution
  • Names and contact information of at least three references


Publications and other academic works that the applicant would like to be considered in the evaluation must accompany the application. Joint works will be considered. If it is difficult to identify the individual applicant's contribution to joint works, the applicant must include a brief description of his or her contribution.

Please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates. Applicants invited for interview must include certified copies of transcripts and reference letters. Please refer to the application number 2019/12366 when applying.

Application deadline: 19.06.2019

NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Computer Science 

We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim and Gjøvik. The Department of Computer Science is one of seven departments in the Faculty of Information Technology and Electrical Engineering .

Work location(s)
1 position(s) available at
NTNU Norwegian University of Science and Technology
Hogskoleringen 1 N-7491

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EURAXESS offer ID: 405783


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