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Associate Professor in Computer Science

Associate Professor in Computer Science

The Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) http://www.ntnu.edu/ie invites applications for a full-time permanent associate professorship in Computer Science affiliated with the Department
of Computer Science, campus Gjøvik (http://www.ntnu.edu/idi)

Information about the Department
The Department of Computer Science (IDI) has about 220 employees including 32 professors, 34 associate professors, 13 adjunct associate professors, 19 assistant professors, 19 postdoctoral researchers, approximately 90 active Ph.D students and 20 technical/administrative staff. More than 7,000 students study one or more courses at the department each year. IDI has offices in both Trondheim and Gjøvik, and the position described in this announcement will be located in IDI’s office in Gjøvik. To find out more about the department's research and educational activities please visit https://www.ntnu.edu/idi/research/  and https://www.ntnu.edu/idi/studies/.

Field of research and teaching for the associate professorship
The associate professor is expected to play a major role in be teaching, supervision and research in applied computer science. The candidate for the position should support the Bachelor in Programming, the Bachelor in Engineering - Computer Science, as well as the Master in Applied Computer Science. The associate professor will play a role in developing the educational profile in the computer science programs and ensuring an excellent learning environment, in collaboration with colleagues, students, and external stakeholders. The faculty’s study programs should have a strong international profile, and the associate professor is expected to be able to contribute to the development of international alliances and collaboration.

The associate professor is expected to carry out research in applied computer science. Depending on the background of the candidate this could be in one or more of the following areas: virtual reality (VR), augmented reality (AR), mixed reality technology, computer games, computer graphics. modern distributed systems, big data, cloud computing, applied machine learning, modern soft-computing or artificial intelligence technologies, including deep-learning.

Research activities are expected to have a strong international profile and impact. The research should have a long-term perspective according to the strategy of the department and contribute to the current group research. Currently the group is doing research in a wide range of areas, such as software engineering, databases, web technology, mobile computing, serious games, and color and visual computing. One of the research groups at the department, The Norwegian Colour and Visual Computing, is located at IDI’s office in Gjøvik.

Research activities at the department rely crucially on external funding, and the development of educational programs may also receive external funding. The associate professor is expected to work actively to receive research grants and other external funding from the Research Council of Norway, Nordic and European research and educational agencies, relevant industry, and other available sources.

In addition to the responsibilities in teaching and research, an associate professor is expected to be able to disseminate relevant parts of her/his research to a wider audience. The associate professor is furthermore expected to participate in the formal management of research, education, and other relevant areas of activity in agreement with the Department Head.


Requirements and qualification

The candidate must

  • hold a Ph.D. in computer science or closely related area

  • have a strong background in applied computer science and applied programming

  • have a strong background and expertise in at least one of the following areas

    • virtual reality (VR), augmented reality (AR), mixed reality technology

    • computer games and computer graphics

    • modern distributed systems, big data and cloud computing

    • applied machine learning, and modern soft-computing and artificial intelligence technologies, including deep-learning

  • be able to teach courses in our Bachelor in programming and Bachelor in computer engineering (such as IMT2531 - Graphics programming, IMT3601 - Game Programming and IMT3602 - Professional Programming) and master program in applied computer science.

  • have experience and potential in teaching, research and scientific output

  • be able to lead, conduct, consult and collaborate in research projects within applied computer science.

Weight will be placed on pedagogical skills. Experience with development of courses and educational activities, and supervision of students will be regarded as positive for applicants to the associate professorship. The applicants should also demonstrate the communication skills required for excellent teaching, supervision and dissemination. She or he should have a good publication record in terms of recent papers in international peer reviewed journals and recent publications in other relevant, well-known international publication channels. Documented external funding and experience with research leadership will be rated positively. Experience in collaboration with industry or relevant public-sector institutions is an advantage. The candidate must be able to document significant research experience and contributions in the international frontline within the field of the position.

The candidate's personal aptitude and motivation for the position will be assigned great weight in the selection process.
 
Newly employed academic staffs who do not already master a Scandinavian language are required to obtain knowledge of Norwegian or another Scandinavian language within three years of taking up the position. This must be of a standard equivalent to Level Three in the Norwegian for Foreigners courses provided by the Department of Linguistics. Courses are available at the University.

The following tests can be used as such 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

Application requirements
 
The application should contain:
    

  • Application letter describing the applicant’s experience, competence and motivation for applying the position, as well as main research interests and scientific ambitions for the nearest future.

  • CV including information pertaining to the given qualifications and a full list of publications with bibliographical references

  • Testimonials and certificates

  • 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.

  • Information about educational experience, including development of study programs, curricula, teaching experience, and development of teaching methods and the learning environment. (Documentation of an applicant’s pedagogical qualifications: http://www.ntnu.edu/vacancies/pedagogical-qualifications)

  • Information about dissemination activities.

  • Other documents which the applicant would find relevant.

  • Names and contact details of 2-3 references (name, relation to applicant, e-mail and telephone number)

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 her/his contribution.

NTNU expressively invites applications from qualified female scientists.

After the application deadline, a shortlist of applicants will be drawn up, and all applicants will be informed as to whether or not they have made the list. An international expert committee will evaluate all shortlisted applicants. The top applicants from this evaluation will be invited for interviews and trial lectures.

The successful applicant should start before 1st of August 2018.

Formal regulations
Academic staff employed without prior formal pedagogical qualifications in university-level teaching, are required to complete a recognized course that gives a pedagogical qualification within two years of taking up the appointment. The University NTNU offers such courses.The associate professor should adhere to regulations that concern changes and developments within the discipline and/or the organizational changes concerning activities at NTNU.

The position as associate professor follows code 1011, and is remunerated according to the wage levels 57 - 77 on the Norwegian government state salary scale, with gross salary from NOK 490 900,- 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 www.jobbnorge.no. Preferably, all attachments should be combined into a single file.

Further details about the associate professorship can be obtained from
Associate Professor Marius Pedersen, phone +47 61 13 52 46, email: marius.pedersen@ntnu.no or Department Head Professor John Krogstie,
phone: +47 934 17 551, email: john.krogstie@ntnu.no.

For information about processing of applications, please contact Senior Executive Officer Anne Kristin Bratseth, Phone (+47) 73 59 67 15, e-mail: anne.kristin.bratseth@ntnu.no

Reference no: IE 127-2017
Application deadline: 2018-01-05

Søk stillingen

Om stillingen

  • Søknadsfrist
    5. januar 2018
  • Arbeidsgiver
    NTNU - Norwegian University of Science and Technology
  • Nettside
  • Kommune
    Gjøvik, Trondheim
  • Arbeidssted
    Gjøvik
  • Jobbnorge-ID
    145171
  • Intern-ID
    IE 127-2017
  • Omfang
    Heltid
  • Varighet
    Fast

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