Associate Professor Statistics

Location: Bengaluru

Job Description
Position:

- Associate Professor Statistics

Location:

Embassy Manyata Business Park, Manayata Tech Park, Thanisandra, Bengaluru

About the University
The University of New South Wales (UNSW) is one of Australia's leading research-intensive universities and a founding member of the prestigious Group of Eight (Go8), a coalition of Australia's top research universities. Consistently ranked among the top 20 universities globally, UNSW is internationally recognised for excellence in teaching, research, innovation, and industry engagement. The UNSW Bengaluru Campus extends the University's global academic excellence to India, offering world-class education through globally aligned curricula, interdisciplinary research, and strong industry partnerships.

The campus is committed to delivering an outstanding student experience, fostering innovation, entrepreneurship, and impactful research while preparing graduates to address complex global challenges. UNSW Bengaluru emphasises experiential learning, research-led teaching, digital innovation, and close collaboration with industry, creating a dynamic environment that equips students with future-ready skills and global perspectives. The University is dedicated to academic excellence, inclusivity, sustainability, and developing leaders who can make meaningful contributions to society, business, and technology.

Position Summary
The Associate Professor – Statistics (Data Science) at UNSW Bengaluru is a senior academic role responsible for providing leadership in teaching, research, curriculum development, and academic service within the School of Science and Engineering. The role contributes to the academic development of the campus by delivering high-quality undergraduate and postgraduate teaching, leading curriculum innovation, mentoring academic staff, and advancing internationally recognised research aligned with UNSW's global academic standards and the University Grants Commission (UGC) regulatory framework.

The Associate Professor is expected to maintain a strong research profile in Statistics and Data Science, contribute to academic governance, foster interdisciplinary collaborations, build partnerships with industry and external organisations, and support the University's strategic priorities. The appointee will play a key role in promoting excellence in teaching, research, student success, and academic quality while contributing to the development of a high-performing academic culture at UNSW Bengaluru.
Preference will be given to global/international faculty with teaching experience outside of India.

The faculty is expected to teach courses such as:
Probability and Statistics
Mathematical Statistics
Statistical Inference
Regression Analysis
Multivariate Statistics
Time Series Analysis
Experimental Design
Data Science
Machine Learning
Statistical Computing (R/Python)
Data Analytics
Predictive Analytics
Big Data Analytics
Data Visualisation

Indicative Areas of Expertise
Statistics
Applied Statistics
Mathematical Statistics
Data Science
Machine Learning
Artificial Intelligence
Statistical Computing
Data Analytics
Predictive Analytics
Business Analytics
Time Series Analysis
Bayesian Statistics
Biostatistics
Computational Statistics
Big Data Analytics

Key Responsibilities
Deliver high-quality teaching across undergraduate and postgraduate Statistics and Data Science programs while promoting excellence in learning and teaching.
Provide academic leadership in curriculum design, development, delivery, and continuous review across Statistics and Data Science programs.
Coordinate course delivery across teaching teams, ensuring consistency in curriculum implementation, assessment standards, moderation, and student learning outcomes.
Design and continuously improve curriculum, assessment strategies, learning resources, and innovative teaching practices aligned with UNSW standards and UGC regulatory requirements.
Integrate educational technologies, statistical software, programming tools (such as R and Python), and blended learning approaches into teaching.
Supervise undergraduate, postgraduate, and research projects while fostering analytical thinking, statistical reasoning, and data-driven problem-solving skills.
Maintain a strong research profile through publications in high-quality peer-reviewed journals and presentations at national and international conferences.
Lead collaborative research initiatives and contribute to securing competitive research funding from government, industry, and international funding agencies.
Develop interdisciplinary research collaborations across UNSW campuses and with national and international academic institutions.
Supervise Honours, Master's, and Ph.D. students and mentor early-career researchers where appropriate.
Mentor junior academic staff through peer review, teaching support, curriculum development, and research guidance.
Participate in strategic planning, academic governance, curriculum review, accreditation activities, and University committees.
Lead quality…