University of Bergen

Department of Informatics

The University of Bergen (UiB) is an internationally recognised research university with more than 14,000 students and close to 3,500 employees at six faculties. The university is located in the heart of Bergen. Our main contribution to society is excellent basic research and education across a wide range of disciplines.

Professor in informatics – machine learning

There is a vacancy for a Professor in machine learning, with a specialization in deep learning at the Department of Informatics.


About the department

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. 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.

 

Work tasks/ research field / scientific focus

All employees are expected to contribute to excellence through high quality research and teaching. The machine learning group is the newest research group at our department. We are looking to strengthen our research and teaching capability in deep learning and neural networks. The successful candidate must be an internationally recognized expert in machine learning with primary focus in deep learning and advanced neural networks. The University of Bergen has marine research as one of its three main research pillars. We are thus seeking candidates with an interest in this direction; strong ties to research and industry in the marine sector is a significant advantage.

 

Qualifications and personal qualities:

  • Applicants must have a doctoral degree in a field relevant for machine learning, such as Mathematics or Computer Science, or have equivalent qualifications.

  • A strong publication record demonstrating an ability to do research both independently and collaboratively is a requirement.

  • The candidate should have documented experience leading research projects.

  • Teaching experience is necessary, and previous teaching of topics in machine learning will be emphasized.

  • A successful applicant will also be expected to contribute to general computer science topics. Research experience with topics relevant to the other groups at the department is an advantage.

  • Both theoretical knowledge and practical programming experience will be given weight, and experience from software development and industry is an advantage.

  • An internationally active profile is important, and a candidate should have strong connections to institutions, organizations, or projects abroad.

  • Similarly, established collaborations with national institutions is important.

  • Experience with applications for external research funding is an advantage.

  • Applicants must have excellent skills in oral and written English.

  • Experience with the Norwegian system of education is an advantage.

  • Personal and relational qualities will be emphasized. Research experience, ambitions and potential will also be taken into account when evaluating the candidates. 

Teaching - qualifications and personal qualities

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

  • pay grade 77-84 (code 1013) corresponding to NOK 731 400 – 893 900 in the state salary scale. A higher salary may be considered for a particularly well qualified applicant.

  • enrollment in the Norwegian Public Service Pension Fund

  • a position in an inclusive workplace (IA enterprise)

  • good welfare benefits

Your application must include:

  • CV

  • diplomas, references

  • complete list of publications

  • a summary (2-3 pages) of the most important results in you research, your research goals and a suggestion for teaching plans

  • list with appendices that document your pedagogical qualifications

  • list of academic work that the applicant believes should be taken into consideration in the assessment, including information about where this work was published

  • the names of three referees, where at least one is familiar with your tutorial skills

The application and appendices with certified translations into English or a Scandinavian language must be uploaded at JobbNorge by 03.01.2019. 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

Apply for this job

About this job

  • Deadline
    Thursday, January 3, 2019
  • Employer
    University of Bergen
  • Website
  • Municipality
    Bergen
  • Jobbnorge ID
    161489
  • Internal ID
    2018/13711
  • Scope
    Fulltime
  • Duration
    Permanent

About applications

  • Applications on this job are registered in an electronic form on jobbnorge.no
  • You must complete: Academic CV
  • Please refer to where you first saw this job advertised!

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