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Recruitment, Appointment/Re-appointments/Promotions Manage the end-to-end process of faculty recruitment, including advertisement, candidate coordination, and appointment formalities Handle faculty re
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skills, including knowledge of advanced statistical software packages, are highly desired, along with experience with empirical research methods, including developing, conducting and supporting research
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to design and analyse experiments, and interpret results; Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects; Communicate research findings through
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/ Data Science / Epidemiology (with strong quantitative focus) Proficient in at least one statistical software package (e.g. STATA, SPSS, SAS, R). Demonstrated experience with synthesis projects, using
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in the heat. There are also opportunities to pursue a part-time PhD with HRPC. Main Duties and Responsibilities The main areas of responsibilities of the role will include but limited to the following
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on analyzing data and conducting casual inferences to evaluate the implications of technology adoption and policy changes. Key Responsibilities: Conduct quantitative data analysis using statistical software (e.g
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long and short-form content to encourage enrolment. Transform formal research findings into engaging, social media-friendly content that resonates with Gen Z’s interests, tone, and style. Content
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development of methods and experiment design to validate the developed methods. Other research responsibilities include supervising junior researchers/interns/students, carrying out detailed literature review
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. The positions will be suitable for candidates with an interest in high-dimensional statistics, probability and optimization. Requirements: PhD in Mathematics/Computer Science/Statistics or related fields Good
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. (Computer Science) , B.Sc. (Information Systems) , B.Sc. (Computing & Law) and B.Sc. Software Engineering programmes. The programmes have been remarkably successful in demonstrating educational innovations and