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Postdoctoral Fellowship (2 years) in Mathematical Statistics

Umeå University - Department of Mathematics and Mathematical Statistics

Location: Umeå - Sweden
Salary: SEkr350,000 or £26,198.55 (converted salary*) the stipend is tax-free per year
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 22nd January 2024
Closes: 26th February 2024
Job Ref: FS 2.1.6-161-24

The Department of Mathematics and Mathematical Statistics is offering a postdoctoral scholarship within the project “Advanced functional clustering methods for analyzing complex winter climate data from Scandinavia”. The scholarship is full-time for two years, with access on 1 May 2024 or by agreement.

Project description

The project focuses on developing innovative statistical functional clustering methods, with special emphasis on being suitable for the challenging types of complex functional data objects that annually laminated (varved) lake sediment and annual tree rings (densities) constitute, with respect to climate reconstruction. The methods should be able to jointly handle the clustering of dependent misaligned functions together with auxiliary information.
 
The appointed candidate will get the opportunity to carry out collaborative research according to a mutually agreed research plan. They will also be given the opportunity to present their research at international conferences and to participate actively in joint workshops and seminars.
 
This postdoctoral scholarship is financed and administered by The Kempe Foundation (JCSMK23-0230). The stipend is tax-free and will be 700 000 SEK for two years, meaning 350 000 SEK per year.

Qualifications

To qualify as a post-doctoral scholarship holder, the postdoctoral fellow is required to have completed a doctoral degree or a foreign degree deemed equivalent to a doctoral degree. This qualification requirement must be fulfilled no later than at the time of the decision about the scholarship recipient.

Priority should be given to candidates who completed their doctoral degree, according to what is stipulated in the paragraph above, no later than three years prior. If there are special reasons, candidates who completed their doctoral degree prior to that may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organizations, military service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area.

A successful candidate is expected to have a background in Mathematical Statistics or Statistics, especially in functional data analysis or clustering methods. Good skills in oral and written English are required.  A candidate should have good collaborative skills, drive and independence. Good programming skills are merits.

Application

A full application should include:

  • A cover letter summarising your qualifications, your research background and scientific interests, and your motivation to apply for this position (max 3 pages).
  • Curriculum vitae (CV), including a complete publication list.
  • A verified copy of a doctoral degree certificate or documentation that clarifies when the degree of doctor is expected to be obtained.
  • Verified copies of other diplomas and a list of completed academic courses and grades.
  • Copy of doctoral thesis and the (at most) 3 most relevant publications.
  • Contact information for two persons willing to act as references.
  • Other documents that the applicant wishes to refer to. 

The application should be written in English (preferably) or Swedish. Your complete application, marked with reference number FS 2.1.6-161-24, should be sent electronically (in PDF format) to medel@diarie.umu.se (with a reference number on the subject line). The closing date for applications is February 26, 2024

More information

Further details are provided by:

Natalya Pya Arnqvist, natalya.pya@umu.se

Sara Sjöstedt de Luna, sara.sjostedt.de.luna@umu.se

More information about the department:

www.umu.se/en/department-of-mathematics-and-mathematical-statistics/

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