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.

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.

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 Gaussian processes and penalizing complexity priors.

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.

This Postdoc position will be within the project “Gaussian processes on metric graphs” founded by the Swedish Research Council.

The main goal will be to develop penalizing complexity priors for Gaussian processes. In particular the processes will be on metric graphs and defined through stochastic partial differential equation.

In recent years the department has developed several courses within data science, e.g., 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, at the time of employment, has a PhD, or an international degree equivalent to a PhD, within Statistics or Mathematical Statistics. It is also required that, at the time the employment decision is made, the applicant is either in the process of obtaining the PhD degree before taking up the position or has obtained it at most three years ago.

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 the applicants fit within the project.

Appointment to this position will use the following assessment criteria.

  • A good ability to develop and conduct high quality research and teaching skills.
  • Research experience relevant to the project.
  • 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: Apply here

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.
  • Other documents that the applicant wishes to submit.
  • References.

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

Other

Planned starting date of the position, 2025-03-17 or by agreement.

Type of employment Temporary position
Contract type Full time
First day of employment 2025-03-17 or by agreement
Number of positions 1
Full-time equivalent 100
City Lund
County Skåne län
Country Sweden
Reference number PA2024/3678
Contact
  • Krzysztof Podgórski, Professor, +46462228921, krzysztof.podgorski@stat.lu.se
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, 046-2229362, st@st.lu.se
  • SACO:Saco-s-rådet vid Lunds universitet, kansli@saco-s.lu.se, kansli@saco-s.lu.se
  • SEKO: Seko Civil, 046-2229366, sekocivil@seko.lu.se
Published 22.Nov.2024
Last application date 13.Dec.2024 11:59 PM CET
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