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 assurance initiatives informed by student feedback, graduate outcomes, and industry expectations.
- Uphold academic integrity and ensure compliance with UNSW policies, UGC regulations, and academic quality frameworks.
- Build partnerships with industry, government agencies, research organisations, healthcare organisations, financial institutions, and professional bodies to strengthen research, consultancy, and student engagement.
- Promote interdisciplinary collaboration across Statistics, Data Science, Artificial Intelligence, Computer Science, Engineering, and Business disciplines.
- Represent UNSW Bengaluru in academic, professional, and industry forums, conferences, workshops, and outreach activities.
- Promote an inclusive academic culture and contribute to equity, diversity, inclusion, and student wellbeing initiatives.
- Ensure safe, ethical, and compliant academic practices across teaching, research, supervision, and data management.
Qualifications & Selection Criteria
- Ph.D. in Statistics, Data Science, Mathematical Sciences, or a closely related discipline from a globally recognised university.
- Demonstrated record of academic excellence with significant achievements in teaching, research, and scholarly activities.
- Strong research profile with publications in high-impact peer-reviewed journals and evidence of national and international recognition.
- Demonstrated expertise in Statistics, Data Science, Machine Learning, Artificial Intelligence, Statistical Computing, or related analytical disciplines.
- Proven ability to deliver high-quality teaching across undergraduate and postgraduate Statistics and Data Science programs.
- Demonstrated experience in curriculum design, program development, assessment design, and continuous curriculum improvement.
- Experience implementing innovative pedagogical approaches, educational technologies, and blended or online learning.
- Demonstrated success in supervising Honours, Master's, and Ph.D. students.
- Evidence of securing or contributing to competitive research funding and collaborative research projects.
- Demonstrated leadership in curriculum innovation, academic governance, quality assurance, and accreditation activities.
- Evidence of engagement with industry, government agencies, research organisations, and professional bodies relevant to Statistics, Data Science, Analytics, or Artificial Intelligence.
- Excellent communication, leadership, interpersonal, mentoring, and organisational skills.
- Demonstrated ability to build collaborative relationships across disciplines and multicultural academic environments.
- Commitment to academic integrity, equity, diversity, inclusion, and student success.
- An understanding of and commitment to UNSW's aims, objectives, values, academic policies, and quality standards.
- Knowledge of workplace health and safety responsibilities and commitment to relevant health and safety training.
Key Relationships
- Rector – for strategic direction, academic leadership, performance oversight, and reporting.
- Head of School/Discipline Lead – for academic planning, curriculum development, teaching quality, and faculty performance.
- Academic Staff – for collaboration on teaching, curriculum development, mentoring, assessment, and research activities.
- UNSW Sydney Faculty – for curriculum equivalence, academic moderation, research collaboration, and quality assurance.
- Professional Staff – including Student Services, Admissions, Academic Administration, Learning Support, and Examinations.
- Research Office – for research grants, ethics approvals, research reporting, and research administration.
- Industry and External Partners – for collaborative research, consultancy, internships, guest lectures, and student engagement.
- Government Agencies, Healthcare Organisations, Financial Institutions, and Professional Bodies – for collaborative initiatives, applied research, outreach, and research partnerships.
- Regulatory Bodies – including UGC and accreditation agencies for compliance, quality assurance, and academic standards.
Application Process
Send your cover letter and CV via EasyApply. We will contact only those candidates who are shortlisted; unfortunately we are unable to respond to all applicants.