Associate Professor in Applied Machine Learning
About the position
At the Department of Computer Science, there is a vacancy for a full-time permanent associate professor in Computer Science.The associated professor is expected to play a major role in be teaching and supervision in computer science. The position will primarily support the Bachelor in Engineering - 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 position reports to head of department.
The associate professor is expected to carry out research in applied machine learning, and in particular machine learning applied to colour and visual computing, big data, or modern distributed computing. In addition, the research should have a long-term perspective according to the strategy of the department and contribute to the current group research.
The candidate must have very good programming and software engineering background, and a strong background in applied computer science. The candidate must be able to teach programming and software engineering on a bachelor level. Likely courses include “software engineering” and “programmering”. Advantage if the candidate has knowledge of java programming.
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.
The position of Associate Professor requires university education, and academic competence in at least at doctoral level.
The ability to initiate and lead research and development work will be emphasized. Strong emphasis will be placed on publication of research results in recognized international journals within his or her subject area. The greatest emphasis is placed on academic work during the past five years (depending on the disciplinary tradition).
The candidate must
- Hold a PhD degree (or equivalent) in computer science, machine learning or a closely related area
- have a strong background and expertise in applied computer science, programming and software engineering
- have a strong background and expertise in applied machine learning, and in particular machine learning applied to colour and visual computing, big data, or modern distributed computing
- be able to teach courses in our Bachelor in computer engineering (“programming” and “software engineering”)
- 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
Advantage if the candidate has knowledge of java programming.
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.
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.
The candidate's personal aptitude and motivation for the position will be assigned great weight in the selection process.
Basic qualifications in the discipline of education are required. Anyone who is appointed without having formal basic qualifications in the discipline of education (formerly referred to as practical qualifications in teaching at university level) and who is unable to document equivalent qualifications is required to complete an approved course within two years of appointment. Uniped at NTNU offers qualifying courses.
Pedagogical skills and qualifications will be emphasized. The evaluation will be based on documented material related to teaching, forms of presentation for the academic works, experience in teaching, supervision of doctoral and master’s degree subjects as well as other types of pedagogical background. Applicants with teaching experience at university level will be preferred. Quality and breadth will be evaluated.
Employees who do not have formal qualifications in teaching at university level and who cannot provide documentation of equivalent qualifications must complete an approved pedagogical development programme within two years of appointment.
The person appointed must comply with the decisions about changes due to developments in the subject area, and the organizational changes that may result from decisions regarding the university's activities.
Mastering Norwegian or a Scandinavian language is an advantage for the position, and will be assigned weight in the selection process,and will be assigned weight in the selection process. It is a prerequisite that within three years of appointment new employees who do not speak a Scandinavian language can demonstrate skills in Norwegian or another Scandinavian language equivalent to level three in the course in Norwegian for speakers of other languages at the Department of Language and Literature at NTNU.
Please see the Regulations concerning appointment and promotion to teaching and research posts for general criteria for the position.
In the assessment of the best qualified applicant, education, experience and personal suitability will be emphasized, as well as motivation for the position.
- exciting and stimulating tasks in a strong international academic environment
- an open and inclusive work environment with dedicated colleagues
- favourable terms in the Norwegian Public Service Pension Fund
- employee benefits
Salary and conditions
The gross salary for the position of associated professor (code 1011) is normally from NOK 515.200 to NOK 682.200 per year, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund,
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.
The person appointed must live in a location enabling him/her to be present at and available to the institution.
About the application
The application and description of the academic works to be used as the basis for the assessment must be in English.
The application must include:
- 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 be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.
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 May 2019.
A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. NTNU wishes to increase the proportion of women in its academic positions, and women are therefore encouraged to apply.
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 Professor Marius Pedersen, phone +47 61 13 5246, email: firstname.lastname@example.org or Department Head Professor John Krogstie. Phone: +47 934 17 551, email: email@example.com.
For information about processing of applications, please contact Senior Executive Officer Anne Kristin Bratseth, Phone (+47) 73 59 67 15, e-mail: firstname.lastname@example.org.
Submit your application with your CV, diplomas and certificates via jobbnorge.no. Applicants invited for interview must bring certified copies of certificates and diplomas.
Mark the application with reference number: 2018/42378
Deadline for applications: 2018-12-10
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 .
Employer NTNU - Norwegian University of Science and Technology
Municipality Gjøvik Sel Trondheim
Place of service Gjøvik