Doctoral Position in Statistics

Lund University Department of Statistics School of Economics and Management

Doctoral Student in Statistics

Lund University, LUSEM, 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 more than 8 000 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 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.

The Department of Statistics at Lund University is looking for applicants for a doctoral position in statistical modeling of high dimensional data with application towards genetics.

Job assignment

Doctoral students devote their time primarily to completion of course work and the writing of a doctoral thesis. The employment as a PhD student is granted on a yearly basis and the total period of employment may not exceed 4 years of full-time studies. Departmental duties, i.e., teaching, administration or research not directly connected to the dissertation topic, may amount to a maximum of 20% of full time. When such departmental duties are performed, the length of employment is extended accordingly.

The doctoral student project has the two possible, not exclusive, paths, a more mathematical and a more applied path.

Project description:

The aim of the project that the student will be working on is in high dimensional statistics with application towards genetices. For more description see https://stat-lu.github.io/PhDpos/.

Eligibility/Entry Requirements

A person meets the general admission requirements for third-cycle courses and study programs 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.

(Higher Education Ordinance, Chapter 7, Section 39)

Other requirements

  • A proficient level of English is required in both written and oral communication.
  • Ability to work independently.
  • Strong motivation to advance a challenging project.

For the two paths we have separate requirements:

  Mathematical statistics path

  • MSc in mathematics or statistics.
  • Strong mathematical skills (probability, functional analysis, linear algebra).
  • Experience in programming.

  Biostatics path

  • MSc in mathematics, statistics, computer science, biostatistics, or physics.
  • Strong programing skills (R and/or C++).
  • Sound knowledge of applied statistics (linear models, Bayesian statistics).
  • Ability to work in an interdisciplinary team at the interface of genetics, computer. science and statistics.

Basis of Assessment

Admittance of a doctoral student is primarily 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 the Master’s thesis.
  • Ability to participate actively in the Department’s research environment.
  • Relevant educational background and grades/grade average.
  • Relevant work experience.
  • Competence in statistics.
  • Potential to develop independent research.

Terms of employment

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

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

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.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. We kindly decline all sales and marketing contacts.

To apply, please click the button "Login and apply"

Type of employment Temporary position longer than 6 months
First day of employment September 1, 2021
Salary Monthly salary
Number of positions 1
Working hours 100
City Lund
County Skåne län
Country Sweden
Reference number PA2021/521
Contact
Jonas Wallin, +46 46 222 01 72
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 24.Feb.2021
Last application date 30.Apr.2021 11:59 PM CET