Senior Research Support Technician (2025PILIFRUA102)

Euraxess; Cerdanyola del Vallés; Presencial; EUR 30.000 - 40.000; Jornada completa

Descripción de la vacante

A leading university seeks a Senior Research Support technician to assist in researching social cohesion through statistical analysis and data collection. You'll engage in international projects, contribute to articles for scientific journals, and work closely with experienced researchers in a dynamic research environment.

Servicios

Flexible working hours

Professional development opportunities

Participation in international research

Collaborative work environment

Formación

• Master’s Degree required in Sociology or Computational Social Sciences.
• Experience with data collection and statistical analysis is necessary.
• Excellent English communication skills are essential.

Responsabilidades

• Support statistical analysis of data from cross-national surveys.
• Conduct simulations and contribute to academic articles.
• Participate in group meetings and collaborative research.

Conocimientos

Statistical analysis

Data visualization

Teamwork

Excellent communication

Educación

Master’s Degree in Sociology

Master’s Degree in Computational Social Sciences

Herramientas

R

Network Canvas

Visone

Gephi

Descripción del empleo

Organisation / Company Universitat Autònoma de Barcelona Department Research Management / Strategic Projects Research Field Sociology Researcher Profile Other Profession Positions Research Support Positions Country Spain Application Deadline 17 Jun 2025 - 23 : 59 (Europe / Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number 101020038 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Job position

Senior Research Support technician We seek a research assistant (“Tècnic superiors de la recerca”) to give support to the project “A Network Science Approach to Social Cohesion in European Societies" (PATCHWORK) funded by the European Research Council. This international project investigates social cohesion in different societies via large-scale cross-national survey data on networks.

Tasks :

Give support to research based on the statistical analysis of data from a cross-national survey on citizens' personal networks in relation to the social cohesion of societies.

Conduct statistical simulations of societal networks and statistical analysis of survey data.

Contribute to (at least 2) articles for high-quality international scientific journals that align with the project's objectives and requirements.

Conduct interviews using CAPI (Computer-Assisted Personal Interviewing) and / or CAVI (Computer-Assisted Video Interviewing).

The selected candidate will work closely with Dr. Miranda Lubbers and actively participate in the COALESCE Lab, collaborating with other members, including PhD students and other postdocs. They will also take part in the weekly group meetings where ongoing research projects and articles are discussed, and will assist in the group’s activities.

Job position requirements (skills / languages / required experience)

Academic degree : Master’s Degree in Sociology or Computational Social Sciences

Work experience (as a research technician, intern, or contracted predoctoral researcher), especially in competitively funded and collaborative research projects, and in tasks involving data collection, statistical analysis, and visualization of quantitative data.

Computer skills : Extensive experience with :

Statistical software for quantitative data analysis and visualization (R)

Software for quantitative analysis and visualization of personal networks (networks of social relationships between individuals), using Network Canvas, Visone, Gephi, and / or R

Linguistic skills : Excellent oral and written communication skills in English, the language of communication for the project.

Other merits : The following are valued :

Previous experience with social network simulation (demonstrable).

Participation (even if not hired) in collaborative research projects with competitive funding, specialized courses, oral presentations and posters at academic conferences, and academic stays abroad.

Excellent teamwork skills

Professional attitude and conduct, including responsibility, organizational awareness, integrity, high ethical standards, and pragmatism

Motivation to work in an interdisciplinary and international environment

Independent thinking and initiative

Required documentation :

Copy of ID

Letter of motivation (1-2 pages, in English)

Curriculum vitae (in English), including educational qualifications, work experience, computer skills, level of language skills, and any other relevant experience to demonstrate that the assessment criteria are met

Copy of the academic degrees and academic records

Language certificates (certificate of English proficiency is mandatory) Benefits Contract : 19 months and 2 weeks (until March 31st, 2027) Salary, social security, and other relevant salary supplements (Plus Campus) Work Schedule : Monday to Friday between 09.00 and 18.00 (flexible, 7 hours a day) Selection process Only eligible candidates who meet the educational requirements (Master’s in Sociology or Computational Social Sciences) will be evaluated on a 100 point-scale based on the following criteria and scoring system :

Official BA / BSc / MA / MSc in Sociology : 15 points

Official BA / BSc / MA / MSc in Computational Social Sciences : 15 points

8.5 (or equivalent foreign grades according to the “Equivalencia de Notas Medias”) : 5 points Computer skills (demonstrable) in quantitative analysis (CV) : 0–30 points

Knowledge of statistical software for quantitative data analysis and visualization (R) : 0–10 points

Knowledge of software for quantitative analysis and visualization of personal networks (social relationship networks), using Network Canvas, Visone, Gephi, and / or R : 0–10 points

Proficiency in Microsoft environment (Word, Excel, OneDrive) : 0–5 points

Proficiency in collaborative platforms (GitHub) : 0–5 points English proficiency : 0–10 points

C1 level / TOEFL 95–114 / IELTS band 8 : 5 points

No professional research experience : 0 points

Experience as a mid-level research support technician or contracted researcher in research projects or similar, involving data collection, analysis, and visualization : 1–6 points

Experience as a senior research technician or similar level involving quantitative data collection, statistical analysis, and visualization : 7–10 points Motivation letter : 0–5 points

Professionalism, motivation, and written communication skills in English : 0–5 points Other CV qualifications : 0–10 points

Participation (not necessarily hired) in collaborative and competitively funded research projects, prior experience with data simulation (especially networks), specializedçcourses in relevant areas (social network analysis, simulation, quantitative survey data analysis), presentations at academic conferences, academic stays abroad, and contributions to scientific articles will be valued. The selection process is conducted in a single phase.

Any application that is not submitted in this way will not be included in the selection process.

Programmes : European Research Council - Reference Number : ERC Advanced Grant (grant no. ERC-2020-AdG 101020038)

Any application that is not submitted in this way will not be included in the selection process.

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