Job Summary

The incumbent will be responsible for analysing data on how social and emotional learning (SEcan cultivate and promote global citizenship, sustainable development, and peace through the use of advanced statistical methods, data mining & visualization techniques. In addition to advanced analytical skills, this candidate must also be proficient at integrating and preparing large datasets, architecting specialized databases, constructing mathematical models for policy research, conducting complex regression analyses, working in highperformance computing environments, and communicating scientific results efficiently.

The candidate will be required to work in transdisciplinary teams which include neuroscientists, psychologists, game developers, mobile app developers, project/program managers, and other IT personnel, to turn data into critical information that can be useful for the Institute. The candidate must be a creative thinker and find innovative solutions to problems through the information available. The candidate will need to validate their findings and present back findings to the relevant stakeholders.

Duties and Responsibilities

Impact Evaluation

• Conduct relevant background research and develop dataanalysis plans for assessment of pilot and largescale SEL interventions.
• Develop and validate assessment measures for research studies.
• Analyse data from pilot and largescale research studies to test the efficacy of SEL interventions.

Mathematical Modelling

• Utilize empirical educational data to develop and test mathematical models, ensuring they reliably represent realworld scenarios and adjusting them as necessary for improved precision.
• Analyze and interpret model results to inform educational strategies and policies

Long Description

Scientific Communication

• Communicate scientific results to highimpact journals and conferences.
• Disseminate research findings to members of the capacitybuilding team for design of evidencebased implementation programs.
• Support the research team to contextualize findings in different cultural environment(.
• Support any other institutewide activities as and when they arise.

COMPETENCIES (Core / Managerial

REQUIRED QUALIFICATIONS

Education Qualification:

• An advanced university degree equivalent to a Master’in data science, statistics, computer science, cognitive science, or related fields.
• Completed coursework/certificate/modules in basic and advanced statistical analysis related to psychometrics (techniques such as PCA, factor analysis, and IRand assessment of educational interventions (techniques such as GLMs, nonlinear regression models, multilevel modeling, SEM, causal inference, and longitudinal analysiat master’s level. In support of this requirement please insert images of the course and grades achieved in statistical analysis highlighted in the work experience in employment history form.

Work Experience:

• Minimum 2 years of work experience in one of the areas of focus (psychometrics, quantitative analysis of largescale educational interventions, or policy analysi
• Proficiency in mathematical modelling, numerical optimization, simulation techniques, and linear and nonlinear programming.
• Proficiency in one or more data analysis software: R/Python. You may provide a link to your GitHub repository containing the code and analysis techniques you have developed in the employment history form.

DESIRABLE QUALIFICATIONS

Experience:

• Experience in conducting research studies in the education sector.
• Experience in publicationquality analysis and writing competencies through one or more international peerreviewed journal publication(.
• Experience in presenting at highprofile international conferences.
• Experience in dissemination of scientific results to nontechnical audiences, especially through the use of infographics and other graphical materials.

Languages:

• Working knowledge of another UNESCO language (French, Arabic, Chinese, Russian, and Spanish.