Lunds universitet, Ekonomihögskolan, Statistiska institutionen

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 around 15 researchers, teachers, PhD students and other staff. We conduct research within a number of areas, such as the analysis of high dimensional data, Bayesian methods, spatial-temporal models, non-Gaussian modelling, applied research in the social sciences, and stochastic models and computational statistics. More information can be found on the department's home page, https://stat.lu.se/en/research.

Lund University announces a limited-duration (two years) position as Postdoctoral Fellow 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 seeking applicants for a postdoctoral position in the area of high-dimensional statistics through regularization techniques. 

Assigned duties

The main duty involved in a postdoctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours. The position includes the opportunity for three weeks of training in higher education teaching and learning.

The applicant is expected to conduct independent research in high-dimensional statistical methodology involving advanced regularization methods, including both basic research and applications. The applicant will be involved in developing statistical methods for modern regularization techniques such as LASSO, SLOPE, and related as well as developing effective computational methods for their implementations. Extension of regression-oriented methods to generalized linear and graphical models will be at the center of research activities. 

The applicant is expected to collaborate with other researchers at the department, be willing to interact with students and to actively participate in the activities of the department. Production of publications and active participation in conferences is also expected. 

In recent years the department has developed several courses within data science, e.g., Bayesian methods, high-dimensional and functional data analysis, deep learning and AI methods. The applicant is expected to teach these types of courses. Teaching can be at the undergraduate, graduate and doctoral levels. Supervision of undergraduate essays at the Bachelor and Master levels is also expected.

Eligibility

Appointment to this position requires that the applicant has a PhD, or an international degree equivalent to a PhD, within Statistics, Econometrics, or Mathematical Statistics. Proof of a PhD exam is required, at the latest, before the decision of employment is made. The candidates who received their PhD degree at most three years go will be considered in the first place.

Assessment criteria 

This is a career development position primarily focused on research. The position is intended as an initial step in a career, and the assessment of applicants will primarily be based on their research qualifications and potential as researchers. Particular emphasis will be placed on research skills within the subject.

Appointment to this position will use the following assessment criteria:

  • A good ability to develop and conduct high quality research and teaching skills.
  • Relevance and viability of the research plan.
  • International experience.
  • Results and distinctions that attest to the applicant's ability to do research.

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.

The position includes teaching in English and therefore requires a good command of the English language.

Terms of employment

This is a full-time, fixed-term employment of two years according to “Avtal om tidsbegränsad anställning som postdoktor” (Agreement on fixed-term employment as postdoctoral fellow). 

Application procedure

Please use Lund University job application portal when applying: https://www.lunduniversity.lu.se/about-university/work-lund-university/applying-position.

The application must be written in English.

The application should contain:

  • A personal letter in which the applicant gives a short description of him/herself and his/her research interests.
  • Curriculum vitae.
  • Diplomas, e.g. Ph.D. Diploma.
  • Doctoral dissertation.
  • Project plan/description (maximum 1 500 words not including references).
  • Other documents that the applicant wishes to submit.
  • References.

The university applies an individual salary setting. Feel free to state salary claims in your application.

Type of employment Temporary position
Contract type Full time
First day of employment 2022-08-01, or by agreement
Salary Monthly salary
Number of positions 1
Full-time equivalent 100
City Lund
County Skåne län
Country Sweden
Reference number PA2022/1562
Contact
  • Krzysztof Podgórski, Head of department, +4646-2223123
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, +4646-2229362
  • SACO:Saco-s-rådet vid Lunds universitet, +4646-2229364
  • SEKO: Seko Civil, +4646-2229366
Published 26.Apr.2022
Last application date 17.May.2022 11:59 PM CEST

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