Research Engineer

Company:NEOMA Business School

Location:France / Reims or Rouen


Employment Type:12 months full time position


Research Engineer

NEOMA Business School is one of top-tier business schools in France. Our mission is to train and support future managers and entrepreneurs to provide responsible leadership that goes beyond current dominant models of business and leadership. We develop empowering management through world-class rigorous and relevant research that inspires our teaching and learning experiences, reaching all of our stakeholders.

NEOMA Business School is one of the few elite business schools in the world with triple accreditation (AACSB, EQUIS and AMBA). With our three campuses in France (Champagne-Ardenne, Normandy and Paris), we offer the ideal balance between the French savoir-vivre and ready access to the heart of business in Europe. If you are looking to push the frontiers of knowledge in your discipline, and are committed to sharing this knowledge with our stakeholders, you will find NEOMA Business School an ideal place to advance your career.

The newly-founded Areas of Excellence (AE) at NEOMA BS invite applications for research engineers positions.
The four AEs at NEOMA BS (The World We Want, The Future of Work, The Complexity Advantage and AI, Data Science and Business) aim to develop high-quality and impactful research that contributes to ongoing academic conversations and to address current challenges faced by businesses and society (for more information on the four AEs:
We are looking for a highly motivated candidates, interested in collecting and analyzing data for research purposes, participate in the dissemination of the research results (e.g., events, white papers) in at least one of the following domains:

1. Qualitative methods:

  • Designing research designs and research plans focusing on qualitative data
  • Collecting qualitative data (e.g., recording observational/ethnographic data, conducting interviews with expert and non-expert informants, conducting case studies)
  • Analysing qualitative data (of the aforementioned , and/or other types)

2. Experimental methods

  • Designing experiment designs (e.g., psychological lab experiments, behavioral economic lab experiments, natural or quasi-experiments, field experiments)
  • Administering experiments (e.g., managing lab experiment sessions, coordinating field experiment practicalities)
  • Analysing experimental data (e.g., data visualizations, ANOVA, binary logistic regression)
  • Using common research platforms and tools (e.g., Qualtrics, MTurk, Prolific)
  • Identifying earlier research designs (e.g., finding established measures/scales for survey studies)

3. Quantitative methods

  • Designing research designs and research plans focusing on quantitative data
  • Collecting quantitative data
  • Quantitative analyses (e.g., econometrics, stochastic modelling, structural models, structural equation modeling, fuzzy-set analysis, mathematical/analytical modelling, optimisation, simulation)
  • Using common research platforms and tools (e.g., Qualtrics, MTurk, Prolific)
  • Identifying earlier research designs (e.g., finding established measures/scales for survey studies)

4. Database-related skills

  • Familiarity/ability to work with large databases
  • Programming, coding (e.g., Python, Stata, SAS, R),
  • Scraping data from the internet and publicly available sources

The ideal candidate should:

  • Hold at least a master or equivalent degree in management, information systems, data science, operations research, statistics, human science;
  • Be self-motivated and able to carry out tasks independently
  • Be an excellent team player and possess strong inter-personal skills
  • Fluent written and spoken English
  • Written and spoken French is not mandatory, but beneficial (e.g., conducting interviews in French, contacting stakeholders)

12 months full time position in Reims or Rouen.

Please send your application to

Contact Person:If you wish to apply for this position, please specify that you saw it on AKADEUS.

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