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Krea University invites applications for Teaching Fellows in Mathematics, Data Science and Statistics at its Sri City Campus in Andhra Pradesh. You will guide undergraduates, support innovative curriculum design and help integrate research with teaching.
The program focuses on essential teaching experience, mentorship, and professional growth within the School of Interwoven Arts and Sciences. Masters or higher degrees are preferred, PhD/MPhil welcomed.
Krea University is seeking Teaching Fellows to guide undergraduate students, support innovative curriculum design, and integrate research with teaching in mathematics, data science, and statistics.
Department: Mathematics, Data Science and Statistics
Job location: Krea Sri City Campus: 5655, Central Expressway, Sri City, Andhra Pradesh 517646 India
The School of Interwoven Arts and Sciences (SIAS) at Krea University invites you to apply for a Teaching Fellow position. As a teaching fellow, you will have the opportunity to tutor undergraduate students and contribute to the innovative curriculum design and pedagogy being developed at Krea University. Teaching fellows work closely with faculty members in all aspects of classroom engagement.
The Teaching Fellows Program at Krea University addresses two key principles. First, it helps early-career academics make informed decisions about academic careers by providing essential teaching experience and mentorship. Second, it promotes the integration of research and teaching, encouraging teaching fellows to pursue professional growth both within and outside Krea.
Minimum educational qualification: Masters degree in one of the following, or related, disciplines: Mathematics, Data Science and Statistics.
Candidates with a Ph.D. or an M.Phil. are also welcome to apply.
Remuneration: The remuneration package is competitive.
Duration of contract: One year (may be extended subject to satisfactory performance).
Krea is an equal opportunities employer. Remuneration will be competitive with Indian non-profit pay scales and will depend upon the candidate’s experience levels and the overall organization’s salary structure.