PhD Scholarship in Statistics at Lund University

Lund University is pleased to invite applicants to apply for a new opening PhD position in statistics. This position is available for 4 years. Applications should be sent before September 26, 2018.

Lund University was founded in 1666 and is repeatedly ranked among the world's top 100 universities. The University has 40 000 students and 7 400 staff based in Lund, Helsingborg and Malm. 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:

The Department of Statistics at Lund University is looking for applicants for a doctoral position in the area of statistics. The main research project will be decided based on the future student's background and match with the faculty interests, see also the link above.

Doctoral students devote their time primarily to completion of course work and the writing of a doctoral thesis. The employment as a doctoral 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.

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

A person meets the specific admission requirements for doctoral studies in Statistics if he or she meets the general admission requirements, and has:
-  Documented qualifications worth at least 90 credits in Statistics, of which at least 15 credits consist of an independent project (degree project) in Statistics; or
-  Documented qualifications worth 60 credits in Statistics on an advanced level.
- A person also meets the specific admission requirements if he or she has aquired the equivalent knowledge in some other way, either in Sweden or abroad.

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

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 fr third-cycle studies, available at
- 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 describe, question and discuss the current state of researh.
- Sufficient clarity and logical coherence in the formulation of the aim and the research questions.

Only those who are or have been admitted to PhD-studies may be appointed to doctoral studentship. When an appointment to a doctoral studentship is made, the ability of the student to benefit from PhD-studies shall be the primary consideration.

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. Knowledge of advanced algorithmic methods for statistical computing is consider an advantage. Emphasis is placed on the quality of the candidate’s master's thesis or of other research reports.

The application should contain:
-  a personal letter in which the applicant gives a short description of him/herself and his/her research interests;
-  copies of relevant work such as Bachelor’s or Master’s thesis;
-  if appropriate, documented language skills relevant for third-cycle studies;
-  other documents that the applicant wishes to submit;
-  contact information for at least two references.

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

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.


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