Professor / Associate Professor in Optimization and Control of Dynamic Systems

Trondheim, Norway
24 Jun 2017
End of advertisement period
21 Aug 2017
Contract Type
Full Time

NTNU’s Faculty of Information Technology and Electrical Engineering hereby invites applications for a professorship/associate professorship in Optimization and Control of Dynamic Systems, affiliated with the Department of Engineering Cybernetics.

Information about the department

The Department of Engineering Cybernetics (Institutt for teknisk kybernetikk, ITK) has 22 professors, 10 adjunct professors, about 10 postdocs and researchers as well as 70 PhD candidates. Approximately 160 candidates graduate annually from the three MSc programs in cybernetics, which comprise about 720 students in total. Also, about 35 candidates graduate annually from the BSc study in electrical engineering with specialization in automation.

The research and educational activities at ITK include fundamental and industrially-oriented activities in areas such as automatic control and systems theory, estimation and optimization, cyber-physical systems, autonomous unmanned vehicles, robotics, ships and marine systems, process control, smart grids, offshore renewable energy, offshore oil and gas including automated drilling and production optimization, fisheries and aquaculture, medical technology, safety-critical systems, embedded and real-time systems, systems engineering and instrumentation.

The department is involved in numerous research projects and centers, including the Centre of Excellence for Autonomous Marine Operations and Systems (NTNU AMOS). ITK's research activities are growing and we therefore aim to strengthen our capability and capacity in strategically important fields.

Job description

The professor/associate professor is expected to play a leading role in research and research-based education in optimization and control of dynamic systems in cooperation with the existing staff at ITK. She or he is also expected to establish collaboration with relevant colleagues at other departments at the faculty and within NTNU’s strategic research areas.

The professor/associate professor must have a solid background in numerical optimization for control. Important application areas include energy and process systems, in particular control and optimization of integrated energy systems. This includes automatic control (e.g. model predictive control) as well as decision support systems (e.g. real-time model-based optimization). Research competence in mixed-integer optimization coupled to hybrid dynamic systems or static systems, including large-scale mixed-integer programming, is relevant.

Research activities are expected to have a strong international profile and impact, with a long-term perspective and to be concentrated around basic challenges and enabling technologies with relevance and importance for applications and industry. The department has an international profile with a strong ambition to be a leading international research unit within its field. Specifically, the candidate will join a research community at ITK which was rated "excellent from an international perspective" in the Norwegian Research Council’s evaluation of 53 ICT communities in Norway in 2012, as only one out of three ICT communities to receive such a rating in the Norwegian university and college sector.

The department has strong relationships to Norwegian and international industry, with numerous joint research projects. The research activities at the department rely crucially on external funding, and the development of educational programs may also receive external funding. The successful applicant is expected to work actively to obtain research grants and other external funding from the Research Council of Norway, European research and educational agencies, relevant industry and other available sources.

MSc and PhD candidates from the cybernetics study programs are expected to be competitive in an international job market. The professor/associate professor will contribute towards the department’s educational profile and towards an excellent learning environment, in collaboration with colleagues, students and external stakeholders. Specifically, the professor/associate professor is expected to teach one course in the department’s MSc program and a specialization course at the MSc or PhD level. She or he should supervise MSc students, PhD candidates and postdoctoral fellows.

In addition to research and education, the professor/associate professor is expected to disseminate relevant parts of the research to a wider audience.

The professor/associate professor is also expected to participate in the formal management of research, education and other relevant areas of activity in agreement with the head of department.


The applicant is required to have a doctoral degree or equivalent in a relevant area, and demonstrate professional qualifications in essential areas of optimization and control of dynamic systems as defined in the job description, with profound scientific competence within one or more of these areas.

For a professorship, the applicant should be internationally recognized and have experience in initiating and leading research projects at a high international level. The applicant should demonstrate international experience and have a strong publication record in terms of papers in peer-reviewed international publication channels. She or he should document the ability to obtain external funding from relevant sources, and have a national and international network.

For an associate professorship, the applicant should have a good publication record in terms of papers in peer-reviewed international publication channels. A documented ability to attract external funding and experience with research leadership will be rated positively. A person employed in the category of associate professor should have a research potential which makes it likely to qualify for a full professorship within five years of employment, even with normal teaching duties.

Regardless of position category, the applicant should demonstrate the ability to develop educational activities and the learning environment. She or he should have experience in the supervision of students or similar experience qualifying for such work. The applicant should demonstrate communicative skills that qualify for excellent teaching, supervision and dissemination, and have good collaboration skills necessary for joint projects with colleagues. Relevant collaboration with industry will also be considered positively.

Application requirements

The application should contain:

  • CV including information relevant for the qualifications and a full list of publications with bibliographical references

  • Diplomas and references

  • The most important publications that are relevant for the evaluation of the applicant’s qualifications (maximum 10 publications)

  • A brief description of the scientific/technological relevance of the candidate's research

  • Research proposal for the first five years of employment (maximum 10 pages)

  • Information about educational experience, including development of study programs, curricula, teaching experience, and development of teaching methods and the learning environment. See “Documentation of an applicant’s pedagogical qualifications”:

  • Information about dissemination activities

  • Other documents which the applicant would find relevant

Joint works will also be evaluated. If it is difficult to identify the contributions from individuals in a scientific collaboration, applicants are to enclose a short summary of his/her contribution.

Following the application deadline, a shortlist of applicants will be drawn up, and all applicants will be informed whether they are placed on the shortlist. Shortlisted applicants will be evaluated by an international expert committee. The top candidates from this evaluation will be invited for interviews and trial lectures. The evaluation will take into account not only the accumulated academic production but also the applicant’s potential for scientific development and personal qualities.

Formal regulations

If the candidate does not have prior formal pedagogical qualifications in university-level teaching, the candidate must complete a recognized course which gives a pedagogical qualification within the first two years of employment. NTNU offers such courses.

Proficiency in the English language should be documented. New members of the academic staff who do not already master a Scandinavian language are expected to achieve proficiency in Norwegian or another Scandinavian language within three years of employment. This proficiency should correspond to level three in the “Norwegian for Foreigners” courses provided at NTNU.

Diversity is important to achieve a good, inclusive working environment. We encourage all qualified applicants to apply, regardless of gender, disability or cultural background.

The appointment is to be made in accordance with the regulations for State Employees and Civil Servants in Norway. The candidate must adhere to regulations that concern changes and developments within the discipline and/or the organizational changes concerning activities at NTNU.

Further details about the position can be obtained from Head of Department Morten Breivik, e-mail: .

The position as professor is normally remunerated with gross salary from NOK 611 700 to NOK 1 274 100 a year. The position as associate professor is normally remunerated with gross salary from NOK 490 700 to NOK 722 400 a year. 2% of the salary will be deducted as an obligatory premium to the Norwegian Public Service Pension Fund.

Under Section 25 of the Freedom of Information Act, information about the applicant may be made public even if the applicant has requested not to have his or her name entered on the list of applicants.

Applications are to be submitted electronically through Preferably, all attachments should be combined into a single file.

Reference no: IE 082-2017.

Application deadline: 2017-08-21.


  • Søknadsfrist
    21. august 2017
  • Arbeidsgiver
    NTNU - Norwegian University of Science and Technology
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