Tenure Track Associate Professor in Machine Learning
University of Bergen, Department of Informatics
Norway

Tenure Track Associate Professor in Machine Learning

 

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Tenure Track Associate Professor in 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.

The Department of informatics has 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. Machine learning is a special focus area of our department, and we are currently building a strong research group in machine learning. This announcement is one action towards this goal. We have recently founded a Center for Data Science which the machine learning research group is s central part of. All the groups are successfully co-funded by research grants, among others by the European Research Council (ERC). The department offers state of art education at Bachelor, Master and PhD levels.

Several of our established research groups, in particular, the groups in algorithms, bioinformatics and visualization, envision multiple opportunities for collaboration with the new group in machine learning. The person to be hired in this position is expected to work towards increasing the visibility and productivity of the machine learning research group, and contribute to excellence in research and education conducted by the department.

 

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 professor. The faculty and the department are committed to facilitate the development of the competence 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 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.

 

Employees in tenure track positions may apply for an early final evaluation after at least 3 years employment in the position. Should the result of the evaluation be negative, the employee will be granted a new final evaluation at the end of the tenure track period, cf. point 7 in the guidelines.

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 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:

  • Applicants must hold a PhD or an equivalent degree within computer science or a related field.
  • The applicant must have proven research track and competence in machine learning.
  • The vision of the machine learning group is to conduct research on fundamental principles and algorithms for machine learning. Therefore, research experience on theoretical aspects of machine learning is a strong advantage.
  • Normal academic accomplishments will be evaluated and appreciated accordingly. The elapsed time since the award of the PhD will be taken into consideration in the overall assessment.
  • Documented ability to acquire external research funding is an advantage.
  • Applicants must be able to work independently and have strong collaborative skills.
  • Experience in teaching and student supervision is a requirement.
  • 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.

 

Applicants must be able to document qualifications and experience in teaching and supervision of students. Such documentation can include:

  • proof of completed teaching training
  • evaluation reports of the applicant's teaching practice
  • overview of scope and level of teaching
  • overview of supervision of postgraduate and doctoral candidates, and results obtained
  • teaching awards received
  • own educational publications
  • own compendia and teaching material
  • reports showing participation in projects related to curriculum development and educational development, such as alternative learning or supervision methods or environments

 

The teaching language will normally be Norwegian. The successful applicant must be able to teach in Norwegian or another Scandinavian language within two years of being appointed.

Basic teaching training is a requirement, but a successful applicant who does not have such competence at the time of appointment will be offered training and will be required to document such training within one year of the date of appointment. This deadline is extended to two years for a successful applicant who does not master a Scandinavian language at the time of appointment.

University of Bergen emphasizes educational qualifications for appointment to scientific positions.

 

We can offer:

  • a good and professionally challenging working environment
  • salary at pay grade 66 - 74 (code 1011/ Pay range 24, alternative 10) in the state salary scale. This currently amounts to an annual salary of 594 400 – 691 400 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 the most important research results and a research plan.
  • CV (in addition to completing the CV in Jobbnorge)
  • PhD diploma and any other relevant diplomas/certificates
  • a list of scientific works (publication list)
  • documentation of teaching experience as outlined above.
  • the names and contact information of at least two referees. 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 15 September 2019. Applications sent to individuals per email, will not be considered.

 

General information:
For further details about the position, please contact: Head of Department Professor Pinar Heggernes

The state labour force shall reflect the diversity of Norwegian society to the greatest extent possible. Age and gender balance among employees is therefore a goal. People with immigrant backgrounds and people with disabilities are encouraged to apply for the position.

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:

 

Research:

  • Be able to demonstrate good progress in developing his/her 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 his/her PhD-degree.
  • Have a good reputation as research supervisor.

 

Teaching:

  • Have participated in regular teaching, supervision and examination procedure.
  • Having achieved satisfactory student evaluations of his/her own teaching within the tenure track period.

 

Dissemination:

  • To be able to demonstrate both professional oriented and general communication of his/her own research through articles, lectures, chronicles and other instruments.

 

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.

 

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 his/her 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 requirement 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 his or her 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.

 

Apply for this job


Deadline
15th September 2019


Employer
University of Bergen


Municipality
Bergen


omfang
Fulltime

Duration
Fixed Term

Jobbnorge ID
173972


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