Lund University School of Economics and Management, Department of Statistics

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.

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 about 15 researchers, teachers, technical/administrative staff and doctoral students. The department conducts research in Financial Statistics, Multivariate Analysis, Biostatistics, Applied Research in Social Sciences and Stochastic Models and Computational Statistics.

More information is available at the department's website: http://www.stat.lu.se/en/research.

The Department of Statistics at Lund University is looking for applicants for one (1) doctoral position to do research in statistical modeling in entrepreneurship as part of a research project financed by the Swedish Research Council.

Job assignment

Those appointed to doctoral studentship shall primarily devote themselves to their studies, aimed to result in a doctoral degree. Work carried out during the studentship consists of participation in research projects as well as successful participation in postgraduate (third-cycle) courses. Those appointed to doctoral studentships may also work, to a limited extent, with educational tasks and administration at the Department of Statistics. However, duties of this kind may not comprise of more than 20 per cent of a full time post.

The project the doctoral student is to be involved in has two main focuses:

  • Modeling of the growth of startup companies by identifying which factors determine whether a company will grow large, remain small or discontinue. To determine these factors, we will use statistical modelling using a Hidden Markov methodology as well as latent processes.
  • Studying the team dynamics of startups by answer questions such as, what is the relation between the well-being of the team and its individuals. To determine these relations, we will use methods such as structural equation modeling (SEM), multilevel modeling and sparse regularization method such as LASSO.

Eligibility/Entry Requirements

A person meets the general admission requirements for third-cycle courses and study programmes if he or she has:

  • Been awarded a second-cycle degree; or
  • Satisfied the requirements for courses comprising of at least 240 credits of which at least 60 credits were awarded in the second-cycle; or
  • Acquired substantially equivalent knowledge in some other way in Sweden or abroad.

(Higher Education Ordinance, Chapter 7, Section 39)

Specific admission requirements for doctoral studies in each subject are specified in the relevant general syllabus, available at http://staff.lusem.lu.se/phd-studies/phd-programmes.

Other requirements

A proficient level of English is required in both written and oral Communication.

The applicant is expected to have experience in either R or Python.

Some knowledge of econometrics, linear algebra, time series analysis and multivariate statistics is meritorious.

Basis of Assessment

Admittance of a doctoral student is based on an assessment of the candidate’s ability to benefit from third-cycle studies.

The applicant’s ability to benefit from third-cycle studies and research will be assessed with reference to the selection criteria stated in the relevant general syllabus for third-cycle studies, available at http://staff.lusem.lu.se/phd-studies/phd-programmes.

Applicant’s general competence:

  • Quality and content of previous written work, such as a Master’s thesis.
  • Ability to participate actively in the Department’s research environment.
  • Ability to perform independent work.
  • Relevant educational background and grades/grade average.
  • Relevant work experience.

Only those who are or have been admitted to PhD-studies may be appointed to doctoral studentships. When an appointment to a doctoral studentship is made, the ability of the student to benefit from PhD- studies shall be the primary consideration. In addition to devoting themselves to their studies, those appointed to doctoral studentships may be required to work with educational tasks, research and administration, in accordance with specific regulations in the ordinanance.

The selection process will primarily take into account the applicant’s ability as shown by a degree of competence in statistics, a potential to develop independent research and willingness to communicate with researchers across different disciplines. Emphasis is placed on the quality of the candidate's master’s thesis or of other research reports.

Terms of employment

Fixed-term employment, maximum four years (fulltime studies).

Only those admitted to third-cycle courses and study programmes at a higher education may be appointed to doctoral student.

For regulations concerning employment of doctoral students etc, see the Higher Education Ordinance, Chapter 5, Sections 1-7.

For regulations concerning admission to third-cycle courses and study programs, see the Higher Education Ordinance, Chapter 5, Sections 34-41.

Application procedure

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

The application must be written in Swedish/English.

The application should contain:

  • Personal letter in which the applicant gives a short description of him/herself and his/her research interests.
  • Curriculum vitae.
  • Grade transcripts.
  • Master thesis or similar degree projects.
  • If appropriate, documented language skills relevant for third-cycle studies.
  • Other documents that the applicant wishes to submit.
  • References.
Type of employment Temporary position longer than 6 months
First day of employment September 1, 2019
Salary Monthly salary
Number of positions 1
Working hours 100
City Lund
County Skåne län
Country Sweden
Reference number PA2019/1972
Contact
  • Krzysztof Nowicki, +46 46-222 89 18, krzysztof.nowicki@stat.lu.se
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, +46 46-222 93 62
  • SACO:Saco-s-rådet vid Lunds universitet, +46 46-222 93 64
  • SEKO: Seko Civil, +46 46-222 93 66
Published 28.May.2019
Last application date 12.Jun.2019 11:59 PM CET

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