Assistant Professor of Mathematics

Assistant Professor – Mathematics Specialization: Linear Algebra, Probability, Optimization, Applied Mathematics, Data Science, and Machine Learning Qualification: Ph.D. in Mathematics or relevant field Experience Required: 2–7 years of teaching and/or research experience Position Overview We invite applications for the position of Assistant Professor in the Department of Mathematics , with a focus on emerging and foundational areas such as Linear Algebra, Probability, Optimization, Data Science, and Machine Learning. The selected candidate will contribute to the advancement of academic excellence through impactful teaching, interdisciplinary research, and student mentorship. The role requires a passion for mathematical education, a research-oriented mindset, and a commitment to the integration of modern computational approaches in mathematics. Primary Responsibilities The Assistant Professor will be responsible for delivering undergraduate and postgraduate courses, developing innovative course materials, and supervising student research. Responsibilities also include publishing scholarly articles in reputed journals, applying for research grants, contributing to departmental planning, and participating in academic events. The candidate should demonstrate the ability to bridge mathematical theory with practical and data-driven applications. Key Duties Deliver engaging lectures in core mathematical areas, especially related to data science and computational methods. Design and update course syllabi in line with current academic and industry trends. Supervise final year projects and graduate-level theses. Conduct research in applied mathematics and allied interdisciplinary fields. Collaborate with faculty from engineering, computer science, and analytics departments. Guide students on academic, research, and career matters. Assist in organizing workshops, seminars, and symposia. Contribute to curriculum development and accreditation processes. Participate in academic committees and institutional governance. Essential Qualifications A Ph.D. in Mathematics, Applied Mathematics, Data Science, or a related area. Minimum of 2 years of teaching or research experience at the university level. Strong academic and publication record in high-impact journals. Proven expertise in teaching advanced mathematics and computational applications. Key Competencies In-depth knowledge of: Linear Algebra and Matrix Theory Probability Theory and Statistical Methods Mathematical Optimization and Operations Research Applied Mathematics in Scientific and Engineering Domains Data Science and Machine Learning Foundations Familiarity with programming languages and tools such as Python, MATLAB, R, and LaTeX. Experience with online teaching tools and blended learning platforms. Ability to guide interdisciplinary research and collaborate across departments. Preferred Attributes Evidence of successful research funding or project collaboration. International academic exposure or postdoctoral experience. Prior involvement in academic administration or curriculum innovation. Experience integrating AI/ML into mathematical teaching or research.

Location: in, IN

Posted Date: 6/17/2025