Researcher within Machine Learning

Researcher within Machine Learning UiB - Knowledge that shapes society

Through robust and close interaction with the world around us – globally, nationally and locally – we shall be instrumental in building a society based on knowledge, skills and attitudes.

Do you want to take part in shaping the future?

Researcher within Machine Learning

At the Department of Informatics there is a vacancy for a permanent position as a researcher within Machine Learning. The position is affiliated to externally financed projects. The first 3 years the position is financed by the Research Council of Norway, associated with the project “Retail Fresh”.

About the department

Digitization 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 eight research groups that deliver research and education at a high international level. The groups are within algorithms, bioinformatics, information security, machine learning, optimization, programming theory, visualization and informatics didactics. The Department offers education at the Bachelor, Master and PhD levels. The Department is in rapid growth regarding its number of students, research directions, and employees. We have about 900 students and about 150 employees, among which 37 are Faculty members and 70 are PhD candidates. We have established the Center for Data Science (CEDAS) as an important extension of our research and education activities and an interdisciplinary cooperation of data science, machine learning, and artificial intelligence, besides additional related topics and applications.

About the project/work tasks

An estimated 931 million tons of food were wasted in 2019 globally. Fresh produce (bread, fruit and vegetable, meat, fish, and deli) amount to a significant portion of this food waste. Retailers must take large variations in demand, uncertainty in inventory, and varying shelf lives into account when ordering fresh produce. This makes it difficult to reduce waste. In this project, we aim to minimize wastage of fresh goods while sustaining retailer's sales. We also aim to improve inventory management of fresh produce as part of this process. These goals will be achieved by using state-of-the-art machine learning methods.

Qualifications and personal qualities

Applicants must hold a Norwegian PhD or an equivalent degree within machine learning or a related field, or must have submitted his/her doctoral thesis for assessment prior to the application deadline. It is a condition of employment that the PhD has been awarded.

Experience from research and publication is a requirement.

Experience in machine learning is a requirement.

Programming experience is a requirement.

Ability to attract external research funding must be documented.

A publication record with papers in top-level machine learning venues is an advantage.

Experience in reinforcement learning is an advantage.

Industry experience is an advantage.

Applicants must be able to work independently and in a structured manner and have the ability to cooperate with others.

Applicants must have excellent skills in oral and written English.

In assessing the candidates, a review of both the quality and the breadth of the candidate's research will be conducted. Personal and relational qualities will be emphasized.

Special requirements for the position

The University of Bergen is subjected to the regulation for export control system. The regulation will be applied in the processing of the applications.

The position is based on the following terms:

The research scientist should be a member of the research group in which the subject area of the position belongs.

Salary expenses should as far as possible be 100% externally financed.

The researcher will actively contribute to obtaining external project funding for the academic community, to both themselves and others, from The Research Council of Norway, the EU as well as other sources.

The research activity is expected to be funded by the projects the researcher and the research group, are working on.

The Head of Department may instruct the researcher to work towards specific research projects.

The researcher may partake in duties, participate in committees, boards etc. within UiB.

The researcher is normally not obliged to teach but is expected to partake in the supervision of masters and PhD students, to the extent that this is a natural part of the work in the research group.

The foundation for the position will no longer exist if project funding ceases, and the new law on Government employees etc. regarding termination of employment and preferential rights will be applied.

We can offer

Exciting development opportunities as part of your role in a strong professional environment

Salary at pay grade 62 - 68 (code 1109) in the state salary scale. This currently amounts to an annual salary of NOK 573 900 - 636 700 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

Researchers code 1109 holding a permanent position, may apply for a personal promotion to Researcher code 1183 based on a declaration of competence. For more information, see Personal promotion to Researcher code 1183 Faculty of Mathematics and Natural Sciences UiB

Your application must include

A brief account of the applicant's research interests and motivation for applying for the position.

The names and contact information for two reference persons. One of these should be the main advisor from the PhD programme.

CV

Transcripts and diplomas. If you have not yet completed your PhD degree, please submit a statement from your institution confirming that the doctoral thesis has been submitted.

Relevant certificates/references

List of any works of a scientific nature (publication list)

Publications (as applicable)

The application and any attachments along with certified translations in English or another Scandinavian language must be uploaded to JobbNorge.

General information

Further information about the position can be obtained from: Associate Professor Nello Blaser or Head of Department Inge Jonassen. For HR related matters, please contact Karoline Christiansen.

The state workforce 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.

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.

For further information about the recruitment process, click here.

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.

Deadline

1st June 2023

Employer

University of Bergen

Municipality

Bergen

Scope

Fulltime (1 positions) Fulltime (%)

Duration

Permanent

Place of service

Institutt for informatikk