Lund University, Faculty of Science, Centre for Mathematical Sciences

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 600 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

The Faculty of Science conducts research and education within Biology, Astronomy, Physics, Geosciences, Chemistry, Mathematics and Environmental Sciences. The Faculty is organized into nine departments, gathered in the northern campus area. The Faculty has approximately 1500 students, 330 PhD students and 700 employees.

Work duties
Exceptional applicants are invited to apply for a part-time researcher position focused on sparse and statistical signal processing. The research project is concerned with sparse modeling and representation of various forms of signals, including, in particular, acoustical and spectroscopic measurements. The project considers sparse modeling in inter- and cross-disciplinary applications, and may also include topics such as robust beamforming, machine learning, spectral representation of sparse signals, and dictionary learning. The project is of a collaborative nature, and involves cross-disciplinary topics and investigations as a part of the focus.

Candidates are invited to contact Prof. Andreas Jakobsson for further information about the position. To be eligible, candidates must have a Ph.D. in mathematical statistics, or the equivalent, as well as have a strong publication record in sparse signal processing, convex optimisation, and statistical signal processing. Experience of student supervision in mathematical statistics is required. Experience in collaborative cross-disciplinary research is required, as well as experience in sparse modelling of both audio and spectroscopic signals. 

As the position has supervision duties, the applicant must have a high level of fluency in both Swedish and English.

Qualification requirements
Applicants must have:

  • A PhD or equivalent research qualification within the subject of the position.
  • Very good oral and written proficiency in English.
  • Add further requirements for the position, such as other language skills, leadership experience, personal abilities (see competence guide) or other specific experience or knowledge.

Assessment criteria and other qualifications

  • Ph.D in mathematical statistics, or the equivalent.
  • A high level of fluency in both Swedish and English, both oral and written.
  • Publication record in sparse signal processing, convex optimisation, and statistical signal processing.
  • Publication record in collaborative cross-disciplinary research is required.
  • Publication record in sparse modelling of both audio and spectroscopic signals.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand to contribute to its future development.

Terms of employment
Fixed-term employment, 5 months (jan-may 2020).

Instructions on how to apply
Applications shall be written in English and be compiled into a PDF-file containing:

  • résumé/CV, including a list of publications,
  • a general description of past research and future research interests (no more than three pages),
  • contact information of at least two references,
  • copy of the doctoral degree certificate, and other certificates/grades that you wish to be considered.         

Type of employment Temporary position 3-6 months
Employment expires 2020-05-31
Contract type Part-time
First day of employment 2020-01-01
Salary Monthly salary
Number of positions 1
Working hours 50
City Lund
County Skåne län
Country Sweden
Reference number PA2019/3926
Contact
  • Andreas Jakobsson, professor, +46462224520
  • Erik Lindström, professor, +46462224578
  • Magdalena Brossing, HR coordinator, +46 46 222 95 62
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, 046-222 93 62
  • SACO:Saco-s-rådet vid Lunds universitet, 046-222 93 64
  • SEKO: Seko Civil, 046-222 93 66
Published 20.Dec.2019
Last application date 09.Jan.2020 11:59 PM CET

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