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Researcher in informatics: algorithmic foundations of data science

Deadline: 15.01.2020

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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.

Researcher in informatics: algorithmic foundations of data science

At the Department of Informatics of the University of Bergen (UiB), Norway, there is a vacancy of up to two positions as researcher in algorithmic foundations of data science, associated with the newly founded Center for Data Science (CEDAS). Each position is for a fixed period of 2 years.

The available positions are associated with CEDAS through the European Research Council Grant “Lossy Preprocessing (LOPRE)” of Professor Saket Saurabh.

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 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. Due to the central role informatics plays in society, the department is in rapid growth, in the number of students, research directions, and employees. We have today about 700 students, more than 50 PhD candidates, and 150 employees, among which 35 are faculty. We recently founded the Center for Data Science (CEDAS) as an important extension of our research and education activities.

About the project / work tasks

All employees are expected to contribute to excellence through high-quality research. For these positions we are looking for scientists who will contribute to the success and visibility of CEDAS and the LOPRE project. Current scientific priorities of CEDAS include the research of algorithmic foundations of data science, visual data science, fundamentals of machine learning, data science in bioinformatics, behavioral data science, and statistical foundations. A successful candidate for this position will conduct research within the algorithmic foundations of data science, as well as interacting with other CEDAS scientists. We are looking for excellent scientists with background and experience in one or more of the following areas of computer science: approximation algorithms, dynamic algorithms, streaming algorithms, parameterized complexity, machine learning algorithms, as well as related fields

Qualifications and personal qualities:

  • Applicants must hold a Norwegian or equivalent PhD in Computer Science or Mathematics, or must have submitted their doctoral thesis for assessment prior to the application deadline. It is a condition of employment that the PhD has been awarded.
  • Experience in algorithmic research is a requirement. It is a requirement that the candidate has demonstrated strength within algorithmic research with a solid publication record at the top conferences such as STOC, FOCS, SODA, ICALP, SoCG, PODC, or equivalent top venues.
  • Experience in data science, in particular with focus on the algorithmic foundations of data science, but also on some of the other CEDAS research directions will be beneficial.
  • Applicants must be able to work independently and in a structured way and have the ability to cooperate with others.
  • Applicants must have excellent skills in oral and written English.
  • Personal and relational qualities will be considered, as well. Research experience, ambitions and potential will also count when evaluating the candidates.

We can offer:

  • A good and professionally challenging working environment.
  • Salary at pay grade 59 - 67 (code 1109 / pay range 24, alternative 3) according to the state salary scale upon appointment. This constitutes a gross annual salary of NOK 523 200 –605 500. For particularly highly qualified applicants, a higher salary may be considered. Further promotions are made according to length of service.
  • Enrolment in the Norwegian Public Service Pension Fund.
  • Good welfare benefits.

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 referees. One of these should be the main advisor from the PhD programme.
  • The applicant’s CV.
  • Transcripts and diplomas and official confirmation that the doctoral thesis has been submitted, if the PhD degree has not been awarded already.
  • Relevant certificates/references.
  • List of any works of a scientific nature (publication list).
  • Publications (as applicable).

The application and appendices with certified translations into English or a Scandinavian language must be uploaded at JobbNorge by 15.01.2020

General information:

The main contact persons will be:

For HR related matters, please contact Lene Sørheim.

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.

Further information about our employment process can be found here.

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