Lund University, Faculty of Engineering, Centre for Mathematical Science

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.

Project description
The main topic of the research will be analysis of discrete-time stochastic processes and interacting particle systems, with a focus on history-dependent random processes and models related to random geometry. The analysis of such models uses a broad spectrum of probability theory, including e. g. results from martingale theory, random graphs theory and percolation. The project also aims to contribute to the study of social networks dynamics.

Work duties
The main duties of doctoral students are to devote themselves to their research studies which includes participating in research projects and third cycle courses. The work duties can also include teaching and other departmental duties (no more than 20%).

Admission requirements
A person meets the general admission requirements for third-cycle courses and study programmes if the applicant:

  • has been awarded a second-cycle qualification, or
  • has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or
  • has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

A person meets the specific admission requirements for third cycle studies in Mathematical Statistics if the applicant has:

  • at least 90 credits of relevance to the subject, of which at least 60 credits from the second cycle and a specialised project of at least 30 second-cycle credits in the subject, or
  • a second-cycle degree in a relevant subject

Additional requirements:

  • Good oral and written proficiency in English.
  • Good knowledge of mathematics at graduate level.

Assessment criteria
Selection for third-cycle studies is based on the student’s potential to profit from such studies. The assessment of potential is made primarily on the basis of academic results from the first and second cycle. Special attention is paid to the following:

  1. Knowledge and skills relevant to the thesis project and the subject of study.
  2. An assessment of ability to work independently and to formulate and tackle research problems.
  3. Written and oral communication skills.
  4. Other experience relevant to the third-cycle studies, e.g. professional experience.

Other assessment criteria

  • Graduate courses in probability theory, combinatorics, stochastic processes, graph and measure theory.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through his or her experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programme.

Terms of employment
Only those admitted to third cycle studies may be appointed to a doctoral studentship. Third cycle studies at LTH consist of full-time studies for 4 years. A doctoral studentship is a fixed-term employment of a maximum of 5 years (including 20% departmental duties). Doctoral studentships are regulated in the Higher Education Ordinance (1993:100), chapter 5, 1-7 §§.

Instructions on how to apply
Applications shall be written in English and include a cover letter stating the reasons why you are interested in the position and in what way the research project corresponds to your interests and educational background. The application must also contain a CV, degree certificate or equivalent, and other documents you wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.).

Type of employment Temporary position
First day of employment 1 October 2021 or according to agreement
Salary Monthly salary
Number of positions 1
Full-time equivalent 100
City Lund
County Skåne län
Country Sweden
Reference number PA2021/1433
Contact
  • Stanislav Volkov, Professor, stanislav.volkov@matstat.lu.se
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, 046-222 93 62
  • SACO:Saco-s-rådet vid Lunds universitet, 046-222 93 64
  • SEKO: Seko Civil, 046-222 93 66
Published 07.May.2021
Last application date 15.Jun.2021 11:59 PM CEST

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