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 AccountabilitiesWorking with Dr. Malik and her team to advance their research work by providing Data analytics and research analysis supportAssist researchers with Data management including big data, data mining and database support and developmentSupport and advise researchers on Data visualizationFoster Relationships with the UAE public and private entitiesSupport researchers with coding and algorithm developmentConduct 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 EducationPhD in Economics, Engineering, Computational Science, Statistics, Computational Social Science or equivalentRequired Work And Related ExperienceExperience in understanding researcher requirements and translating those requirements into functional and dependable solutions,Experience working with data science programming languages like STATA, Python, RExperience data management and big dataExperience in data visualizationExperience in Machine Learning, and AISome Professional experience working on projects in research environmentsPreferred Work And Related ExperienceExperience in project management of application development projects.Experience in a higher education research institution, especially developing and/or supporting research.Required CompetenciesStrong programming skills in relevant programming languages e.g. STATA, Python, R.Knowledge of scientific analysis, statistical methods and computer related research design and statistical analysis.Knowledge of visualizing research data and familiarity with data visualization tools.Knowledge of data managing including data collection, organization and cleansingKnowledge of standard statistical packages such as R, STATA etc.Knowledge of with Big data and data mining toolsAbility to clearly communicate technical concepts to non-technical audience.Ability to keep up to date with technological advances.Ability to work in a team-based environment and contribute positively to it.Ability to work on own initiative and as part of a team.Ability to work with individuals at all levels and diplomatically manages their expectations.Creative problem-solving abilities and initiatives.Strong organizational skills.Strong presentation and report writing skills.Excellent communication, interpersonal and analytical skills are essential.Ability to manage conflicting priorities in an effective and professional manner.Preferred CompetenciesKnowledge of one or more software source code control systems.Ability to work on own initiative and as part of a team.CVStatement of interest in the positionTranscript of degree(s)Two letters of recommendationAdditional Program InformationUAE nationals are encouraged to applyThis position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.htmlKawader is a unique, national capacity-building research fellowship program that allows outstanding graduates to gain experience in a cutting-edge academic research environment. This three-year, individually tailored, intensive program has two distinctive paths designed for (Emirati) graduates considering a graduate degree or a career in research.For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response)Equal Employment Opportunity StatementFor people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdprNYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.Sustainability Statement NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability