Postdoc in high-dimensional causal inference

Postdoc in high-dimensional causal inference

Published Deadline Location
20 Feb 3 Apr Amsterdam

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Job description

This postdoc position is part of the ERC project 'BayCause: high-dimensional nonparametric Bayesian causal inference'. The overall aim of the project is to develop new causal inference methods for high-dimensional settings, meaning many covariates/features relative to the number of individuals ('small n, large p').

About your role
You will do research in high-dimensional causal inference, developing new methods for a variety of outcome types (continuous, binary and survival). Working with a potential outcomes or graphical approach, or both, you will investigate a Bayesian approach towards causal effect estimation in high dimensions. The focus can be on method development and/or theory development. Topics of particular interest are: sensitivity analysis for unmeasured confounding; combining multiple data sets, and developing Bernstein-von Mises theorems. There is a possibility to tailor the particular research projects to the interests of the candidate. The new methods should be made available to the community in R and python.

You will present your results at workshops and conferences, for which a travel budget is available. You are also expected to participate in some light teaching duties of the department, and to take part in local seminars and events.


Amsterdam UMC


We are looking for a candidate:
  • With a PhD in a related field, such as causal inference or Bayesian statistics;
  • With a proven ability to develop new statistical methods;
  • With excellent communication skills;
  • Who is proficient in R or python.
Please submit with your application:
  • CV;
  • Motivation letter;
  • Links to relevant papers authored by you;
  • The names of 1-3 references who may be contacted regarding your application.

Conditions of employment

  • A contract for the duration of the project, 3 year (36 months) postdoc position, with a travel budget.
  • Salary schale 10: € 3.230 tot € 4.177 gross at full time employment (depending on qualifications and experience);
  • Additional benefits including an 8.3% end-of-year bonus and 8% holiday pay;
  • Pension is accrued at the ABP. VUmc contributes a large part of the premium (70%);
  • In addition to excellent accessibility by public transport, we reimburse 75% of your OV travel costs (commuting costs);
  • For more information about our fringe benefits, please visit: employment conditions.


Amsterdam UMC

You will join the vibrant Big Statistics research group (Big Statistics), which is part of the Department of Epidemiology and Data Science within the Amsterdam UMC. You will join a team with multiple PhD students and postdocs working on various topics in causal inference, as well as researchers with expertise in high-dimensional statistics and Bayesian statistics.

The postdoc will be supervised by dr. Stéphanie van der Pas (Stephanie van der Pas) and is part of the ERC project 'BayCause', for which two PhD students and two postdocs will be hired.

We currently work one day a week from the AMC location and one day a week from the VUmc location, with the option to work from home or from the AMC location on the remaining three days.


  • Postdoc
  • Health
  • max. 32 hours per week
  • €3230—€5088 per month
  • University graduate
  • 8075



Meibergdreef 9, 1105AZ, Amsterdam

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