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Tenure Track Associate Professor in Informatics – Machine Learning
The Department of Informatics is recruiting a tenure track associate professor in the field of machine learning. This is a 6-year fixed term, with a possible promotion to full professor at the end of this period.
About the department
Digitalization of businesses, industry, public administration, and education makes informatics play an increasingly important role in the development of the society. Research and education in informatics are crucial for the digital transformation of the society to succeed. The Department of Informatics contributes to this through seven research groups that deliver research and education at a high international level in algorithms, bioinformatics, information security, machine learning, optimization, programming theory and visualization. We are also building up a group in computer science didactics. The department offers education for the future at Bachelor, Master and PhD levels. The department is in rapid growth regarding its number of students, research directions, and employees. We have today about 900 students, and 150 employees, among which 37 are faculty and 70 PhD candidates. We have established the Center for Data Science (CEDAS) as an important extension of our research and education activities.
Work tasks/research field:
The aim of the employment in a tenure track position is to recruit a candidate to a full-time permanent position as a professor. The faculty and department are committed to facilitate the development of qualifications within teaching, research, dissemination and innovation for the successful applicant. All employees of the department are expected to contribute to excellence through high quality research and teaching. The working environment for this position will be the machine learning research group. The machine learning group has a vision to conduct research and education on fundamental principles and algorithms for machine learning. The associate professor shall contribute to the further strengthening of the group and participate in research and education similarly to our current academic staff. This includes teaching and supervision of bachelor and master students as well as supervision of at least one PhD student to achieve the required qualifications as professor by the end of the 6-year appointment. In particular, the following tasks are expected:
- Teaching of bachelor and master students in machine learning and possibly also in other related fields.
- Supervision of PhD students in machine learning.
- Research within the field of machine learning.
- Contribution to developing the machine learning group to become leading in research and teaching.
- Participation and contribution to applications for external funding of research.
- Public outreach activities when appropriate within the field of machine learning.
Qualifications and personal qualities:
- The successful applicant holds a PhD degree within computer science or a related field, obtained within the last 5 years (may be extended due to leave of absence in connection with birth or adoption).
- The applicant has a proven research experience and competence in machine learning and can document past research in terms of a strong publication record.
- Interest and motivation to perform research on theoretical aspects of machine learning is required, and documented work in this direction is a strong advantage.
- Scientific achievements including publications, educational and outreach activities will be evaluated and appreciated accordingly. The elapsed time since the award of the PhD will be taken into consideration in the overall assessment.
- Applicants must be able to work independently and be able to contribute in research teams, both as leader and as participant.
- Documented ability to acquire external research funding is an advantage.
- Applicants must have excellent skills in oral and written English.
- Personal and relational qualities will be emphasized. Research experience, ambitions and potential will also count when evaluating the candidates.
Educational competence requirements
Basic teaching training and experience with the supervision of students at university level is a requirement for the position as associate professor. This implies the ability to document
- completed formal pedagogical training (relevant courses in combination with actual teaching experience can in some cases compensate for a completed course in teaching and learning in higher education).
- basic skills in planning, implementation, evaluation and development of teaching and supervision.
Educational qualifications must be documented in an educational portfolio which should include a documented overview of practical experience and qualifications as well as a brief reflection statement. The statement should primarily describe the applicant’s own teaching philosophy and an evaluation of own teaching in relation to his/her knowledge of students’ learning at a higher education level. You will find more detailed information about criteria and documentation requirements for assessing educational qualifications here.
Applicants who are unable to document adequate educational competence upon appointment, will be expected to meet the requirements within two years of assuming office.
The teaching language will normally be Norwegian. The successful applicant must be able to teach in Norwegian or another Scandinavian language within 3 years of assuming office.
University of Bergen emphasizes educational qualifications for appointment to scientific positions.
About the tenure track position
The aim of the employment in a tenure track position is to recruit a candidate to a full-time permanent position as professor. The faculty and the department are committed to facilitate the development of the qualifications within teaching, research, dissemination and innovation for the successful applicant.
The applicant should have obtained a PhD degree within the last 5 years. This time limit may be extended due to leave of absence in connection with birth or adoption.
- A midterm evaluation will be carried out at the start of year 4.
- A final evaluation will be carried out at the start of year 6.
- The promotion to professor is subject to a satisfactory evaluation.
- The successful applicant will carry out the same tasks as a permanent faculty member.
- A PhD student will be assigned to the position in year 2.
- Senior faculty members will assist with mentoring in the first half of the period.
The associate professor shall participate in research and education similarly to our current academic staff. This includes teaching and supervision of bachelor and master students, as well as supervision of at least one PhD student in order to achieve the required qualifications as professor by the end of the 6-year appointment.
In particular, the successful applicant is expected
- to teach bachelor, master, and doctoral students in machine learning and related fields,
- when needed, for instance when new study programs are established, to develop and teach new courses complementing the current portfolio,
- to supervise PhD and master students in machine learning,
- to do research within the field of machine learning,
- to develop an extensive international collaboration network,
- to disseminate scientific results at highly recognized conferences and in top ranked journals,
- jointly with other faculty members in the group, to develop the machine learning group to become leading in research and teaching,
- to take a leading role in writing applications for external funding of research, and
- to do public outreach activities within the field of machine learning.
We can offer:
- A good and professionally challenging working environment.
- Salary at pay grade 70 – 74 (code 1011) in the state salary scale. This currently amounts to an annual salary of 661 400 – 714 000 before taxes. Further increase in salary will depend on seniority. A higher salary may be considered for a particularly well qualified applicant.
- Enrolment in the Norwegian Public Service Pension Fund.
- Good welfare benefits.
Your application must include:
- a brief outline of the applicant’s interest and motivation to apply for this position, as well as a summary of her/his most important research results and a research plan,
- CV,
- PhD diploma and other relevant diplomas/certificates,
- complete list of publications,
- documentation of teaching experience and pedagogical qualifications,
- the names and contact information of two referees, where one should normally be the main advisor for the PhD.
The application and appendices with certified translations into English or a Scandinavian language must be uploaded at JobbNorge by 30.09.2022.
Applications sent to individuals per email, will not be considered.
General information:
Detailed information about the position can be obtained by contacting:
Head of Department Inge Jonassen.
For HR related matters, please contactLene Sørheim.
Employment is subject to approval with respect to the Norwegian export control legislation.
The state labour force shall reflect the diversity of Norwegian society to the greatest extent possible. People with immigrant backgrounds and people with disabilities are encouraged to apply for the position.
(In the call for applicants and for employment in position groups in which the percentage of women is below 40 percent, the University of Bergen must apply a moderate gender quota scheme. This category of position involves including in the advertisement text that women are especially encouraged to apply. The following text shall therefore be included in the job advertisement: “We encourage women to apply. If multiple applicants have approximately equivalent qualifications, the rules pertaining to moderate gender quotas shall apply” ).
The University of Bergen applies the principle of public access to information when recruiting staff for academic positions.
Information about applicants may be made public even if the applicant has asked not to be named on the list of persons who have applied. The applicant must be notified if the request to be omitted is not met.
For further information about the recruitment process, click here.
Qualifications needed to get a permanent position as professor at the end of the tenure track period
The contract of employment, along with the announcement text and the description of the position, determine the results, demands and criteria that the applicant should fulfil during the tenure track period in order to get a permanent position as professor.
In addition to the demands following the “Rules for employment in scientific positions and academic/administrative management positions” should the following requirements be fulfilled in order to get a permanent position:
a Research:
- Be able to demonstrate good progress in developing her/his own research career.
- To have the capacity for independent research, interdisciplinary collaboration and research management.
- Documented co-publication with other researchers in highly rated international journals.
- Documented active participation and presentations at national and international research conferences.
- Have supervised at least one PhD-candidate who has attained her/his PhD-degree.
- Have a good reputation as research supervisor.
b Teaching:
- Have participated in regular teaching, supervision and examination procedure.
- Have achieved satisfactory student evaluations of her/his own teaching within the tenure track period.
c Dissemination:
- Be able to demonstrate both professionally oriented and general communication of her/his own research through articles, lectures, chronicles and other instruments.
d Academic leadership:
- Have participated actively in the academic development at the departmental, faculty and university level.
- Be able to demonstrate good communication and cooperation skills and participation in various public administrative bodies, expert committees, other bodies in the sector, and to cooperation with other relevant institutions.
- Be able to demonstrate assignments with peer review of scholarly works.
e International cooperation:
- Active participation in international cooperation, implementation of joint projects, and publications with international co-authorship.
Requirements for employees holding a tenure track position as associate professor
During the tenure track period the applicant should qualify for a permanent position as professor. Within four years of the tenure track period a mid-term review will be carried out in which the applicant will be assessed regarding the progression of her/his work according to the requirements for professor competence. The evaluation will be conducted on the basis of the contract of employment, and should guide the applicant regarding the tasks to be prioritized in the rest of the tenure track period to meet the requirements for a permanent position as professor.
The applicant will also be evaluated before the end of the tenure track period to see if the requirements that were set in the contract of employment have been met. Within 12 months before the tenure track period ends, the Faculty Board will appoint an expert committee and set a deadline for submitting the work from the applicant and the committee. The applicant will then be informed about deadlines and the expert committee.
The applicant will be informed about the outcome of the final evaluation at the latest six months before the end of the tenure track period. The applicant may submit remarks to the evaluation and additional information to those parts of the evaluation will be given.
Based on the final evaluation, the Faculty Board determines whether the candidate should obtain a permanent position as professor.
To get a permanent position as professor at the Department of Informatics (cf. § 2 in the regulations on the employment and promotion in teaching and research positions) after the end of the tenure track period, the candidate must, through a final evaluation, have achieved the current requirements for professor competence as approved by the Faculty Board at the Faculty of Mathematics and Natural Sciences.
The opportunity to apply for personal promotion for professor competence is not valid for the period the candidate is employed in the tenure track position as associate professor.
Reference is made to the University’s General Regulations which state that as part of the normal duties of the position, the successful applicant may also be required to undertake teaching, supervision and work in connection with examinations in her or his particular field outside the organisational unit to which the appointment belongs.
About The University of Bergen
The University of Bergen is a renowned educational and research institution, organised into seven faculties and approximately 54 institutes and academic centres. Campus is located in the centre of Bergen with university areas at Nygårdshøyden, Haukeland, Marineholmen, Møllendalsveien and Årstad.
There are seven departments and several centres at Faculty of Mathematics and Natural Sciences. Read more about the faculty and departments.