PhD Position in Survey Methodology

at  Universit de Lausanne

INTRODUCTION

UNIL is a leading international teaching and research institution, with over 5,000 employees and 17,000 students split between its Dorigny campus, CHUV and Epalinges. As an employer, UNIL encourages excellence, individual recognition and responsibility.

YOUR QUALIFICATIONS

• A Master’s degree in Survey Methodology, Social Psychology, Social Sciences, or another relevant discipline, with substantial training in quantitative methods;
• Excellent skills and experience with statistical methods for analysing survey data and familiarity with R, Stata, or SPSS;
• A strong interest in survey methodology and innovations in data collection methods, and ideally, practical experience of designing and conducting surveys;
• Fluency in spoken and written English (working language); knowledge of French and/or German is an asset
• A collaborative attitude and willingness to work as part of a team

WHAT THE POSITION OFFERS YOU

• You will work in an exciting intellectual environment in the UNIL’s Faculty of Social and Political Sciences and be integrated in the LIVES Interdisciplinary Centre for Life Course Research and Inequalities in the Institute of Social Sciences.
• You will have opportunities to collaborate with researchers at FORS, the Swiss Centre of Expertise in the Social Sciences.
• You will receive ongoing supervision and support during the writing of your thesis, specialised training opportunities and funding to attend international conferences in the field of survey methodology.
• You will work in a dynamic, diverse, multicultural, and multidisciplinary academic environment, with opportunities to participate in workshops and seminars.
• The main working language of the position will be English and you will expected to write your thesis in English. Ability to work fluently in French and/or German is an asset.
  See full job description (in French)

The successful candidate will contribute to the SNSF funded project ‘Digital Trust: Understanding and addressing its impact on digital data collection in surveys’ under the direction of Dr. Caroline Roberts. The project will investigate the extent to which digital trust acts as a barrier to using digital data collection methods in survey research and its implications for data quality.