Doctoral student in Mathematical Statistics with a focus on probability theory (PA2021/1433)

Updated: about 3 hours ago
Deadline: 15 Jun 2021

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has around 44 000 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.

LTH forms the Faculty of Engineering at Lund University, with approximately 9 000 students. The research carried out at LTH is of a high international standard and we are continuously developing our teaching methods and adapting our courses to current needs.


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:

  • Knowledge and skills relevant to the thesis project and the subject of study.
  • An assessment of ability to work independently and to formulate and tackle research problems.
  • Written and oral communication skills.
  • 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.).


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