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PhD Candidate “Gender Inequality and Big Data”, Faculty of Arts and Social Sciences, 1.00 fte, 4 years

The PhD will work at Maastricht University (UM/FASoS) and at Statistics Netherlands (CBS). CBS has a leading position in Big Data research, which includes …

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Arbeidsvoorwaarden

Standplaats:
Grote Gracht, Maastricht, Limburg
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 uur
Salarisindicatie:
€ 2222 - € 2840 per maand
Opleidingsniveau:
WO

Functieomschrijving

The PhD will work at Maastricht University (UM/FASoS) and at Statistics Netherlands (CBS). CBS has a leading position in Big Data research, which includes social media data, admin data based on the whole population which are linked to large scale surveys. Innovative research, also related to the Sustainable Development Goals is conducted with the Centre for Big Data Studies (CBDS) at CBS, in close cooperation with UM, and FASoS in particular.

The objective of this Big Data project is two-fold:
(1) State of the art of gender inequality in Dutch firms.
(2) Determinants and consequences of gender inequality in Dutch firms.

This project aims at investigating the impact of gender inequality in Dutch firms (e.g. the composition of the board) on both output variables (e.g. profit) of firms as well as employees (e.g. job satisfaction). The project analyses how gender equality in Dutch companies matters for Dutch society and, especially, how specific gender equality measures are important for the economic performance of the Dutch companies and the wellbeing of its employees.

In the first instance, we will look at which Big Data sources are available and which ones could be used to define, make indicators and map gender inequality. Big data sources will be explored in order to investigate definitional issues around gender inequality (income data based on survey, large admin sources and bank transaction data), issues of perception (social media, text mining of newspapers articles), creating indicators of gender inequality (profiles on Linked In, mobile phone data, data on mobility). Secondly, a comparison is made with a different country, in this case we think of Belgium. Thirdly, we will investigate Big Data methods and the process required to define indicators of gender inequality.

The PhD candidate will:

  • Analyze longitudinal data from population registers in the Netherlands, enriched by large scale survey data and combined with other Big Data sources, using advanced statistical techniques.
  • Write and defend a doctoral dissertation.
  • Publish key results in working papers and peer-reviewed journal articles.
  • Teach in the BA programme European Studies of the Faculty of Arts and Social Sciences, in courses on quantitative methods, and be involved in BA thesis supervision.

Functie-eisen

Has an MSc degree in sociology, social sciences, statistics, demography, gender studies, data sciences, or an affiliated discipline with demonstrable training in quantitative research skills and an interest in Big Data research in the field of Gender Inequality and SDGs.
The candidate has experience with conducting micro-level statistical analyses and good knowledge of advanced statistical and / or Big Data techniques.
The candidate has an excellent written and spoken command of English, as demonstrated by previous course work and/or publications in English.
The candidate is a team-player and willing to contribute proactively to the development of the project.

Conditions

The collaboration between three highly complementary parties provides a unique opportunity to address these important questions in an innovative way: 1. An interdisciplinary research team from Maastricht University providing the content expertise and research skills, 2. CBS providing detailed data on Dutch firms and their employees, and 3. EQUILEAP providing an innovative and highly comprehensive rating methodology to measure Gender Inequality.

We offer a dynamic and challenging job in an internationally-oriented organisation where young people receive an advanced education and scholars conduct exciting research. The PhD candidate will have the unique opportunity to carry out research within Politics and Culture in Europe and contribute to the development and outreach of the Centre of Big Data Studies at Statistics Netherlands. She / he will be part of an international network of top universities and renowned scholars within the field.

We offer a 4 year full-time appointment as PhD student.
The first year will be a probation period, after a positive assessment the position will be extended with another 3 years.
Your workload will be the normal workload for the position of PhD students. Currently this implies 90% research activities and 10% teaching activities.

Remuneration will be according to standard salary levels for PhD students starting with a salary of € 2.222,-- with a yearly growth to € 2.840,-- gross a month (based on a full-time appointment).

Each year the standard salary is supplemented with a holiday allowance of 8% and an end-of-year bonus of 8.3%.

You have to be willing to move to (the vicinity of) Maastricht. If you do not already live in Maastricht (or its direct surroundings) you will be eligible for an allowance for moving costs. If you do not already live in Maastricht (or its direct surroundings) you might be eligible for an allowance for alternative housing.

Other secondary conditions include e.g. a pension scheme and partially paid parental leave.

You will be provided with shared office space and a PC.

Additional information

Applicants are invited for a 4 year PhD position within the project “Gender Inequality in The Netherlands. Research on Sustainable Development Goals with Big Data”. The project is funded by Statistics Netherlands (CBS) and the Faculty of Arts and Social Sciences (FASoS). Principal investigator is prof. dr. Hans Schmeets (CBS/FASoS).

Research project
Gender Inequality and Big Data

Starting date: preferably 1 September 2018 (or as soon as possible thereafter).

Further information on the Faculty of Arts and Social Sciences is available on our website: http://www.maastrichtuniversity.nl/fasos

Any inquiries about the position or the project may be addressed to: Prof. Hans Schmeets (+31 (0) 652487617; h.schmeets@cbs.nl)

For more information about the Centre for Big Data Studies (CBDS), see http://www.cbs.nl/innovatie

Maastricht University’s Terms of Employment are laid down in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local university provisions apply as well. For more information please see the website: www.maastrichtuniversity.nl / Support / UM employees.

Application

Interested candidates are invited to supply us with:

  1. A letter of motivation stating the candidate’s qualifications and reasons for interest in the position.

  2. Their CV.

  3. A grade transcript of previous education at Master level.

  4. The contact information of two references (including e-mail; phone number, mailing address, and relationship to the applicant).

Maastricht University is committed to nurturing an inclusive culture and a welcoming atmosphere. This inclusiveness strategy has resulted in a very diverse representation of nationalities and cultures. We strongly believe that diversity (including, but not limited to nationality, age and gender) of the staff and student population will increase the quality of UM education & research. Fostering diversity and inclusivity creates an academic community where individual talents thrive, and values and differences are cherished. We strongly encourage you to apply if you are qualified for this position.

The deadline for submitting your application is 10 May 2018

After a first selection, short-listed candidates will be asked to submit a brief description (max. 1000 words, excl. references) of a research strategy to analyze the determinants and consequences of gender inequality in Dutch firms, and to map gender inequality with Big Data sources.

Short-listed candidates will be invited for an interview on 14 or 21 June 2018.

Please send your application electronically to the Secretariat of the department Political Science: pzfasosvac-philotss@maastrichtuniversity.nl