Parent Sector : Education Sector (ED)
Duty Station: New Delhi
Job Family: Education
Type of contract : Non Staff
Level : SC9
Duration of contract : 1 year
Recruitment open to : Internal and external candidates
Application Deadline (Midnight India Time): 06 May 2025
UNESCO Core Values: Commitment to the Organization, Integrity, Respect for Diversity, Professionalism
Duration of Contract is one (1) year, with the possibility of an extension subject to the availability of funds and satisfactory performance. Only Indian Nationals are eligible to apply for this position.
The incumbent will be responsible for analysing data on how social and emotional learning (SEL) can 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 high-performance computing environments, and communicating scientific results efficiently.
The candidate will be required to work in trans-disciplinary teams that 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.
The incumbent will be responsible for analysing data on how social and emotional learning (SEL) can 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 high-performance computing environments, and communicating scientific results efficiently.
The candidate will be required to work in trans-disciplinary 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 data-analysis plans for assessment of pilot and large-scale SEL interventions. Develop and validate assessment measures for research studies. Analyse data from pilot and large-scale 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 real-world scenarios and adjusting them as necessary for improved precision. Analyze and interpret model results to inform educational strategies and policiesScientific Communication
Communicate scientific results to high-impact journals and conferences. Disseminate research findings to members of the capacity-building team for design of evidence-based implementation programs. Support the research team to contextualize findings in different cultural environment(s). Support any other institute-wide activities as and when they arise.Education Qualification:
An advanced university degree equivalent to a Master’s) in statistics from a reputable university. Completed coursework/certificate/modules in basic and advanced statistical analysis related to psychometrics (techniques such as PCA, factor analysis, and IRT) and assessment of educational interventions (techniques such as GLMs, nonlinear regression models, multilevel modeling, SEM, causal inference, and longitudinal analysis) at 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 the employment history form.
Work Experience:
Minimum 2 years of work experience in one of the areas of focus (psychometrics or quantitative analysis of large-scale educational interventions, or time series analysis) Experience in at least two of the following: mathematical modelling, machine learning, simulation techniques, and linear and non-linear regression 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.Position-related Skills/Competencies:
The successful candidate will be required to demonstrate the following competencies:
High level of organization skills and attention to detail Well-developed writing skills, communication skills, and creativity Adaptability and commitment to team-playing
Languages:
• Excellent knowledge (written and spoken) of English.
• Working Knowledge of Hindi