Research Assistant Position in Quantitative Methods for the Social Sciences
Poste de doctorant en méthodes quantitatives pour les sciences sociales
Published on Thursday, April 30, 2015
Abstract
The PhD student will write a thesis under the supervision of Dr M. Studer and Prof. G. Ritschard as part of the research project IP 214 of NCCR LIVES « Measuring and modelling vulnerability dynamics in a life-course context ». This research project intends to formalize a general framework for the quantitative modelling of life-course vulnerability. This includes two aspects: the measurement and conceptualization of vulnerability as a state or a risk (such as being at risk to fall in an unwanted situation) and as a process (e.g., social disaffiliation process). In a second stage, the research project will investigate methods to measure how vulnerability (measured as a state or process) is linked to explanatory individual factors (sex, social class…) or contextual dimensions (unemployment rates, social policies…). An application of the developed methodological framework in socioeconomics, such as vulnerability processes in employment, is also planned.
Announcement
Abstract
The PhD student will write a thesis under the supervision of Dr M. Studer and Prof. G. Ritschard as part of the research project IP 214 of NCCR LIVES « Measuring and modelling vulnerability dynamics in a life-course context » (www.lives-nccr.ch). This research project intends to formalize a general framework for the quantitative modelling of life-course vulnerability. This includes two aspects: the measurement and conceptualization of vulnerability as a state or a risk (such as being at risk to fall in an unwanted situation) and as a process (e.g., social disaffiliation process). In a second stage, the research project will investigate methods to measure how vulnerability (measured as a state or process) is linked to explanatory individual factors (sex, social class…) or contextual dimensions (unemployment rates, social policies…). An application of the developed methodological framework in socioeconomics, such as vulnerability processes in employment, is also planned.
Required profile
- Master’s degree in Social Sciences or in Statistics with a proven interest in social sciences.
- Very good knowledge of quantitative methods for the social sciences and advanced skills in longitudinal analysis. Ease with statistical software’s. Programming skills and knowledge of R is an asset.
- Pronounced interest for research in socioeconomics and life course analysis.
- Good writing skills, initiative, organizational skills, willingness to engage in teamwork.
Offered conditions
- Doctoral position, which includes research (PhD) and teaching a weekly 2 hour seminar in quantitative methods for the social science.
- Wage according to the scales of the Swiss National Science Foundation.
- Date: August 1, 2015 or date to be agreed, for a period of one year, renewable for 4 years at most.
- Registration in the LIVES doctoral school.
Applications
Interested persons are invited to send an application including:
- A cover letter with motivation and full contact details,
- A curriculum vitae,
- A copy of diplomas with grades,
- A list of references,
- Optional: a previously written document (Master Thesis, research report, etc.)
Applications should be sent by May 31, 2015
by email to Matthias Studer, matthias[point]studer[at]unige[point]ch. Feel free to ask any questions using the same email address.
The applications will be examined by Dr Matthias Studer and Professor Gilbert Ritschard and an answer will be given before the 30th of June
Subjects
Places
- Geneva, Switzerland
Date(s)
- Sunday, May 31, 2015
Attached files
Keywords
- doctorant, statistique, socioéconomie, vulnérabilité
Contact(s)
- Matthias Studer
courriel : matthias [dot] studer [at] unige [dot] ch
Reference Urls
Information source
- Matthias Studer
courriel : matthias [dot] studer [at] unige [dot] ch
License
This announcement is licensed under the terms of Creative Commons CC0 1.0 Universal.
To cite this announcement
« Research Assistant Position in Quantitative Methods for the Social Sciences », Scholarship, prize and job offer, Calenda, Published on Thursday, April 30, 2015, https://doi.org/10.58079/skh
