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The Netherlands Interdisciplinary Demographic Institute (NIDI-KNAW-RUG) and the Generations and Gender Programme (GGP) have a vacancy for:

Survey data officer (24 months) (0,8 or 1,0 FTE)

Job description

The Generations and Gender Programme (GGP) is a multinational research infrastructure devoted to the study of population and family dynamics. We are looking for a new team member whose main responsibility will be to work with the newly collected Generations and Gender Survey (GGS) data. This will include (1) collaborating with the other team members in processing, documenting, and archiving the survey data; (2) checking the quality of the data; and (3) demonstrating the use and impact of the data to various academic and non-academic stakeholders. This position is particularly well suited for early career researchers including those having recently completed their PhD.

The Generations and Gender Programme and NIDI

The aim of the GGP is to provide high quality and cross-nationally comparable longitudinal data to answer pressing scientific and societal challenges on population and family dynamics. It is based on the collection, documentation, and dissemination of data from large-scale nationally representative surveys from Europe and beyond. It provides data on the transitions to adulthood, family dynamics, fertility decisions, work-life balance, well-being, and intergenerational exchanges. The GGP data have a high scientific impact and provide support for empirically-informed policies on families and population. As a research infrastructure, the GGP also supports multidisciplinary collaboration in the field of population studies, data innovation and survey methodology.

The GGP central hub is located at the Netherlands Interdisciplinary Demographic Institute (NIDI). The institute is part of The Royal Netherlands Academy of Arts and Sciences (KNAW) and is associated with the University of Groningen.

Qualifications

We are looking for candidates with the following qualifications:

  1. PhD in sociology, demography or other relevant discipline (or master degree with at least five years of relevant experience) (required).
  2. Demonstrated experience in working with large individual-level survey data (including advanced statistical analyses) especially cross-national surveys (required).
  3. Excellent knowledge of Stata as well as data visualization techniques (required).

A successful applicant will have excellent communication skills with different stakeholders, as well as have the ability to work in a team. The ability to handle rapid changes in priorities is a must. It is also necessary to have an excellent command of the English language, both written and oral, as this project main language is English.

Appointment and salary

The candidate is expected to start on May 1st (at the latest). The appointment will be for a period of 24 months. Any extension will be contingent on performance, availability of funds, and the human resource needs of the infrastructure. Dutch law stipulates a maximum of 4 years in total for a temporary research-based contract.

All positions within NIDI are classified according to the University Job Classification System (Universitair Functie Ordenen, “UFO”). This position is classified as Researcher 3 or 4. All remuneration includes 8% holiday allowance and an 8,3% year-end bonus according to “CAO-Nederlandse Universiteiten” (CAO-NU). The exact increment will be based on prior experience and education.

Place of work

NIDI, Lange Houtstraat 19, The Hague. Note however that as a result of the pandemic, NIDI employees are currently working part of the week from home.

Information

For additional information you may contact Prof. dr. Anne H. Gauthier (gauthier@nidi.nl).

Application procedure

Candidates are invited to submit their application in English. Applicants should send in one single pdf file::

  • Cover letter (max 2 pages) which explains the motivation for applying for this position as well as the fulfillment of the qualification criteria
  • Curriculum vitae
  • Names and contact information of two referees

The deadline for submitting the application is Wednesday 2 March. Please send the application to the director of NIDI, Prof. dr. H. de Valk (recruitment@nidi.nl). The interviews for this position have been provisionally scheduled for Friday 11 March. A second round of interviews may be part of the selection procedure.

For more information on NIDI, please visit our website at: https://nidi.nl/en/

For more information on the GGP, please visit our website at: https://www.ggp-i.org/   

 

Acquisition based on this advertisement is not appreciated.

Visit NIDI to study child and youth wellbeing using GGP data – apply for the COORDINATE Transnational Access Visits (TAV) programme

Are you looking for an opportunity to work with the Generations and Gender Survey (GGS), Harmonized Histories or other Generations and Gender Programme (GGP) data as part of you research on child and youth wellbeing? The COORDINATE project is offering academic researchers bursaries for a short research visit to the GGP hub at the Netherlands Interdisciplinary Demographic Institute (NIDI) in the Hague.

The COORDINATE Transnational Access Visits (TAV) programme is open to academic researchers (including PhD students), policy practitioners, or other researchers from not-for-profit organisations or registered companies in EU and associated countries. It enables access to international birth cohort, panel and cross-sectional survey data on the topic of children and youth wellbeing. Successful applicants will have the opportunity to spend one to three working weeks at one of the eight partner institutions (including the Netherlands Interdisciplinary Demographic Institute – GGP hub) to conduct their own research, benefit from the support of local experts, and expand their skills. Applicants’ travel costs, accommodation, and subsistence will be reimbursed up to 1,250 EUR per week as specified in the call. The application deadline is February 25th 2022.

For more information on this call, the COORDINATE Project and the full list of host institutions see: https://www.coordinate-network.eu/transnational-visits.

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