The University of Groningen is looking for a PhD who will work closely with the Leverhulme Centre for Demographic Science’s sociogenomics group on an EU funded MapIneq project. Find out more and apply by 19 March here.
The full job description and more information on how to apply can be found here
The PhD position will be within the University of Groningen’s Economics, Econometrics, and Finance research program of the Graduate School of Economics and Business. The interdisciplinary PhD will receive supervision from the Leverhulme Centre for Demographic Science at the University of Oxford and will work closely with our sociogenomics group and senior leads.
The PhD candidate will work within the EU project, Mapping Inequalities through the Life Course (MapIneq). MapIneq is a multidisciplinary consortium of leading international scholars from eight countries working to understand the trends and drivers of intergenerational, educational, labour market, and health inequalities over the life course during the last decades.
The candidate will examine the relationship between biosocial (genetic, biomarkers), family environment and local contextual determinants on labour market and occupational outcomes. Restrictions in and changes to opportunities will be examined using microlevel data combined with MapIneq’s geo-coded database to understand the role of the socioeconomic, policy and natural environmental, family socioeconomic and genetic measures (polygenic scores) of education and occupational prestige. The PhD candidate will be given freedom to investigate topics within the scope of the project that fit their skills and interests.
The PhD candidate will be committed to conduct independent and original scientific research, to report on this research in international publications and presentations, and to present the results of the research in a PhD dissertation, to be completed within four years.
Qualifications
The University of Groningen is looking for an enthusiastic PhD candidate with a keen interest in interdisciplinary collaboration to discover fundamentally new ways to address social inequalities.
The successful candidate will have:
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a Master’s degree in economics, econometrics, demography, sociology, statistics, geography, epidemiology or a related field
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substantive interest in inequality, labour market, family and/or education research
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experience of working with microlevel survey, register and/or biosocial, genetic data is desirable, or the willingness to learn
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programming experience in R and/or Python
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strong analytical skills in statistics
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expertise or interest in developing skills in database management or web applications (particularly spatial databases such as PostGIS/PostgreSQL or web applications, javascript, Python, SQL).
Conditions of employment
The University of Groningen offers this position in accordance with the Collective Labour Agreement for Dutch Universities:
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a salary of € 2,541 gross per month in the first year, up to maximum of € 3,247 gross per month in the fourth and final year. PhD candidates contribute around 15% of their time to teaching
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a holiday allowance of 8% gross annual income and an 8.3% end-of-the-year allowance.
An assessment may be part of the procedure, consisting of psychological tests and an interview.
Starting date: as soon as possible
Application
If you are interested, you can send your application until 19 March 11:59pm / before 20 March 2023 Dutch local time (CET) by means of the application form here (click on "Apply" below on the advertisement on the university website).
The application package must include the following documents:
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A motivation letter (max two pages; A4 single side)
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Curriculum vitae
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Transcripts from your Master’s degrees
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Proof of English proficiency.
Information
For information you can contact:
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Prof. Melinda Mills, m.c.mills@rug.nl
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Dr Douglas Leasure, douglas.leasure@demography.ox.ac.uk
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Prof. Gerard van den Berg, gerard.van.den.berg@rug.nl
Please do not use the e-mail address(es) above for applications.
The full job description and more information on how to apply can be found here