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working in interdisciplinary research projects and team settings Excellent training in qualitative methods, econometrics, and applied microeconomic theory Familiarity with econometric software, being STATA
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around data science, econometrics and statistical modelling. For instance developing new probabilistic modelling tools to help government, researchers and communities better understand and anticipate
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) and economics (or related fields). Applicants must have experience in one or more of the topics: Model-predictive control Numerical optimization Econometrics Virtual power plants Power systems and/or
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should have demonstrated experience in quantitative and/or qualitative policy analysis and are expected to have an adequate understanding of various econometric methodologies. Expected skillsets include
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large-scale surveys in the field, experiments, survey design, and strong skills in applied micro-econometrics and causal inference. An understanding and/or prior involvement with the CGIAR system and
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Econometrics Virtual power plants Power systems and/or power electronics Machine learning Renewable energy systems Advanced statistics Language requirement: Good oral and written communication skills in English
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circular economy landscape in Ireland. Proficiency in both quantitative and qualitative research is essential. A solid background in data and econometric analysis is required, with previous experience using
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the potential to impact on protected groups and take appropriate action. Desirable Skills: Experience with machine learning or natural language processing. Knowledge of econometric methods for policy evaluation
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challenge. An ideal candidate will be interested in conducting cutting edge research on reskilling initiatives both with the PIs and autonomously, and will be proficient in advanced econometric techniques
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Econometrics, Applied Economics, or Finance, from a reputable university. • Familiar in working with large datasets for statistical analysis. • Good track record in publishing in related, peer-reviewed