Path 2: Postdoctoral Associate – Data Analytics (Economics)

The Post-doc will be supervised by Professor Samreen Malik and will be part of a research team that works on issues related to development of human capital as well as climate and sustainable development. Some of the topics of interest include how better air quality improves student's health and non-cognitive functions; sleep patterns of children and its relation to their academic achievement; whether households in low income countries adopt water saving technology to overcome water scarcity; whether cleaning air in workplaces impacts worker's productivity. Many of the projects will involve public and private partnership in the UAE and in other countries and the post-doc will be useful for the UAE based partnership, holding meetings, convincing potential partners to collaborate, and present work to the partners and academics. As part of the team, the post-doc will work full-time as co-author on Dr. Malik's projects. The post-doc will also provide Malik’s team of researchers and faculty with Data Analytics, Data visualization, Data Management, coding & development and support of research design. As part of Malik’s team, there will be hands on experience to learn research methods, experimental designs, tools specifically applied to research in social science but more importantly the post-doc will be involved from the initial stages of project allowing an independent experience of carrying out research from start till end. Principal Accountabilities Working with Dr. Malik and her team to advance their research work by providing Data analytics and research analysis support Assist researchers with Data management including big data, data mining and database support and development Support and advise researchers on Data visualization Foster Relationships with the UAE public and private entities Support researchers with coding and algorithm development Conduct training, engagement with students for senior thesis (graduate and undergraduate level) The candidate will also work on individualized research projects under the supervision of the faculty during the duration of his/her tenure. Required Education PhD in Economics, Engineering, Computational Science, Statistics, Computational Social Science or equivalent Required Work and Related Experience Experience in understanding researcher requirements and translating those requirements into functional and dependable solutions, Experience working with data science programming languages like STATA, Python, R Experience data management and big data Experience in data visualization Experience in Machine Learning, and AI Some Professional experience working on projects in research environments Preferred Work and Related Experience Experience in project management of application development projects.