UCPH PhD fellowship in Biostatistics, Department of Public Health

University of Copenhagen (UCPH)

Denmark

We are offering a PhD fellowship with a special focus on causal inference in biostatistical applications commencing on 15 January 2022 or as soon as possible hereafter.

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General Info

Position: PhD fellowship
No. of Positions: 1
Research Field: ,
Deadline to Apply: Expired
Joining Date: Jan 15, 2022
Contract Period: 3 Years
Salary: 27,800 DKK/Year

Workplace:
Section of Biostatistics
Department of Public Health
University of Copenhagen (UCPH)
Copenhagen,

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Qualification Details

The successful applicant for the Ph.D. scholarship will be a statistician with a strong background in mathematics and statistics i.e., a candidate degree in for example mathematics, statistics, or engineering sciences. Accordingly, we require documented skills within theoretical and applied statistics as well as high-level programming. Also, the applicant should have the ability to communicate research findings in teaching, conference talks and by writing scientific papers for international journals.

It is a prerequisite for the PhD fellowship that the candidate can be and is not already enrolled as a PhD student at the faculty of Health and Medical Sciences, University of Copenhagen.

Responsibilities/Job Description

Your key tasks as a PhD student at SUND are:

  • Carry through an independent research project under supervision
  • Complete PhD courses or other equivalent education corresponding to approx. 30 ECTS points
  • Participate in active research environments including a stay at another research team
  • Obtain experience with teaching or other types of dissemination related to your PhD project
  • Teach and disseminate your knowledge
  • Write a PhD thesis on the grounds of your project

How to Apply?

Online Application through "Apply Now" Button from this page or from advertisement webpage (URL below)

Reference Number: -
(If any, use it in the necessary place)

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Documents Required

The application must be written in English and should consist of the following:

  • Motivated letter of application (max. one page)
  • CV incl. education, experience, language skills and other skills relevant for the position
  • Certified copy of original Master of Science diploma and transcript of records in the original language, including an authorized English translation if issued in other language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.As a prerequisite for a PhD fellowship employment, your master’s degree must be equivalent to a Danish master’s degree. We encourage you to read more in the assessment database: https://ufm.dk/en/education/recognition-and-transparency/find-assessments/assessment-database. Please note that we might ask you to obtain an assessment of your education performed by the Ministry of Higher Education and Science.Applicants with a Master´s degree from abroad should also enclose a short description of the grading scale used
  • Publication list (if possible)
  • Other information to consider: References and recommendations (if possible)

About the Project

The PhD project aims at developing statistical methodology for causal inference in applications of biostatistics and epidemiology.  A key part of the project is the integration of state-of-the-art machine learning techniques to learn underlying complex confounding structures of the data while still providing formal statistical inference for causal effect estimation. The PhD candidate will be involved in a larger project group spanning researchers from the University of California, Berkeley, and statisticians from Novo Nordisk A/S, a leading global healthcare company headquartered in Denmark. The main goal of the larger collaboration is to develop new methodology and improve best practices in the analysis of both randomized controlled trials and observational data such as registry and electronic health record data.

About the Employer: University of Copenhagen (UCPH)

Note or Other details

Terms of employment

It is conditioned upon the applicant’s successful enrolment as a PhD student at the Graduate School at the Faculty of Health and Medical Sciences, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant prior to employment.

The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the Faculty’s rules on achieving the degree. Salary, pension and terms of employment are in accordance with the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State. Depending on seniority, the monthly salary begins around 27,800 DKK /approx. 3,700 EUR (October 2021-level) plus pension.

Interviews are expected to be held in the beginning of November.

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Contact details

Principal supervisor is Associate Professor Frank Eriksson, Section of Biostatistics, eriksson@sund.ku.dk, tel. 35 32 60 48,

Principal co-supervisor is Assistant Professor Helene Charlotte Wiese Rytgaard, Section of Biostatistics, hely@sund.ku.dk,

External co-supervisor is Henrik Ravn, Novo Nordisk A/S, hnrv@novonordisk.com.

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