LUSEM, Department of Statistics

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Lund University School of Economics and Management is one of eight faculties within Lund University. More than 4 000 students and 450 researchers, teachers and other staff are engaged here in training and research in economic history, business administration, business law, informatics, economics, statistics and research policy.

Lund University School of Economics and Management is accredited by the three largest and most influential accreditation institutes for business schools: EQUIS, AMBA and AACSB. Only just over 100 business schools in the world have achieved this prestigious Triple Crown accreditation.

The Department of Statistics employs about 15 researchers, teachers, doctoral students and other staff. We conduct research in several areas: analysis of high-dimensional data, Bayesian methods, spatial-temporal models, non-Gaussian modelling, applied research in social science, as well as stochastic models and computational statistics. More information can be found on the department’s website: https://stat.lu.se/en/research.

Lund University announces a fixed-term position of researcher in statistics. The position is full time, with placement at the Department of Statistics, School of Economics and Management.

Subject description

The Department of Statistics at Lund University is looking for a researcher for a project on the borderline between combinatorics, probability theory, and optimisation. At the center of the intendent studies are random matching, and optimisation problems, as well as their strong concentration/threshold properties, using methods such as local graph limits and recursive distribution equations. Couplings of this to models for random discrete geometry in 2D and 3D are also relevant.

Work duties

The work duties of a research is primarily conducting research. A smaller part of the working time will be devoted to teaching. The teaching will mainly be done in the courses Regression Analysis (in Swedish) and Business Statistics (in English). In addition to this, some administrative duties and professional development may be included.

The applicant will conduct research within the research field described above with production of scientific papers and active participation in scientific conferences. The applicant is expected to cooperate with other researchers at the department, interact with students, and actively participate in other activities of the department.

Qualifications

It is a requirement for the employment with

  • a doctoral (PhD) degree in mathematical sciences,
  • expert knowledge within the research field (se Subject Description above),
  • experience of teaching statistics, and
  • very good knowledge of English in speech and writing.

It is meritorious for the employment with

  • published papers within the research field (see Subject Description above) in relevant journals,
  • documented international collaborations within the research field,
  • experience of teaching regression analysis and business statistics, and
  • experience of teaching in both Swedish and English.

Terms of Employment

This is a full-time, fixed-term employment for one year with start date 2022-09-01 or in accordance to agreement.

Instructions on how to apply

Applications are to be written in English and compiled as 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 one reference, and copy of the doctoral degree certificate, and other certificates/grades that you wish to be considered.
Type of employment Temporary position
Contract type Full time
First day of employment 2022-09-01
Salary Monthly
Number of positions 1
Full-time equivalent 100
City Lund
County Skåne län
Country Sweden
Reference number PA2022/677
Contact
  • Krzysztof Podgórski, +46462223123
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, 046-2229362
  • SACO:Saco-s-rådet vid Lunds universitet, 046-2229364
  • SEKO: Seko Civil, 046-2229366
Published 30.Mar.2022
Last application date 13.Apr.2022 11:59 PM CEST

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