Job Description
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 Assistant Professor – Computer Science at UNSW Bengaluru is an academic role responsible for contributing to the teaching and service missions of the School and Faculty while developing and delivering high-quality scholarly research and professional activities at national and international levels. The role is primarily in the area of Computer Science and Engineering, with a research focus on Databases and related areas, including Human-centric databases such as crowdsourced and collaborative database systems and Vector databases and high-dimensional databases for scientific discovery. The Assistant Professor should have strong expertise in Software Engineering, Computing, and Artificial Intelligence, with responsibilities spanning undergraduate teaching, research, scholarly activities, funding applications, and supporting students and colleagues.
The role reports to the Head of School and has no direct reports.
Preference will be given to global/international faculty with teaching experience outside of India.
The faculty is expected to teach courses such as:
- Software Engineering Fundamentals
- Software Construction: Techniques and Tools
- Web Front-End Programming
- Natural Language Processing
- Database Systems
- Professional Issues and Ethics in Information Technology
Indicative Areas of Expertise
- Computer Science & Computing
- Software Engineering
- Software Design & Architecture
- Software Construction & Development
- Data Structures & Algorithms
- Database Systems & Data Management
- Artificial Intelligence & Natural Language Processing
- Web Technologies & Front-End Programming
- Computing Systems
Teaching and Learning
- Contribute to teaching in Computer Science and Engineering at the undergraduate level, including Software Engineering, Software Construction, Web Technologies, Natural Language Processing, Database Systems, and Professional Issues and Ethics in Information Technology.
- Demonstrate and continuously develop a well-defined teaching philosophy that inspires student learning.
- Conduct classes, assess student learning achievements, and support students in undergraduate courses in line with UNSW policies.
- Design and develop learning activities and resources, and provide assessment and feedback using a range of suitable approaches and learning environments.
- Initiate the development of innovative approaches to teaching and learning with the support of more senior academics.
- Support students’ learning progression through one-to-one consultations and cohort-based course-related advice to achieve positive learning and employability outcomes.
- Manage course administration as Course Authority, including academic quality assurance.
- Maintain professional development in pedagogy, disciplinary knowledge, and minimum professional accreditation requirements, where relevant.
Research
- Conduct research in Computer Science and related areas, with expertise in one or more areas such as Software Engineering, Artificial Intelligence, Natural Language Processing, Database Systems, Web Technologies, or Computing Systems.
- Engage in individual and/or collaborative research consistent with disciplinary practice.
- Create scholarly impact recognised by peers through the advancement of disciplinary knowledge.
- Conduct research and scholarly activities under limited supervision, either independently or as a member of a team.
- Design and undertake research projects.
- Contribute to the development of competitive funding applications under the guidance of senior colleagues.
- Participate as a co-investigator or chief investigator in competitive grant applications.
- Mentor and guide students and colleagues through appropriate research supervision and mentoring activities.
Academic Service and Engagement
- Make a positive contribution to School meetings and seminars.
- Be a member of School/Faculty committees as required.
- Contribute to the academic and service missions of the School and Faculty.
- Engage in individual and collaborative activities consistent with disciplinary practice.
- Support student learning and progression at undergraduate level.
Compliance and Safety
- Align with and actively demonstrate the UNSW Code of Conduct and Values.
- Cooperate with all health and safety policies and procedures of the University.
- Take all reasonable care to ensure that actions or omissions do not impact on the health and safety of yourself or others.
Qualifications & Selection Criteria
- Ph.D. in Computer Science, Software Engineering, Artificial Intelligence, Computing, or a closely related discipline from a recognised university.
- Proven commitment to proactively keeping up to date with discipline knowledge and developments.
- Demonstrated experience in teaching and learning design, development and delivery at undergraduate level.
- Experience using and/or designing with educational technologies and online delivery methods.
- Evidence of teaching effectiveness and passion for educational excellence.
- Demonstrated knowledge of industry or experience of work-integrated learning is desirable.
- Evidence of ability to support and inspire students from diverse backgrounds and support student equity, diversity and inclusion initiatives.
- Demonstrated capability to conduct research in Databases and related areas.
- Ability to conduct research and scholarly activities independently or as a member of a research team.
- Ability to design research projects and contribute to competitive funding applications.
- Ability to create scholarly impact recognised by peers in the advancement of disciplinary knowledge.
- Ability to mentor and guide students and colleagues.
- Demonstrated ability to contribute to teaching in relevant areas of Computer Science, without implying that one individual is expected to teach across all listed subject areas.
- Commitment to maintaining current knowledge and developments in Computing and related disciplines.
- Ability to contribute to the academic and service missions of the School and Faculty.
- Commitment to professional development in pedagogy and disciplinary knowledge.
- Ability to work collaboratively and contribute effectively to the teaching, research and service missions of the School and Faculty.
- Commitment to UNSW's aims, objectives and values in action, together with relevant policies and guidelines.
- Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.
Key Relationships
- Head of School – for academic direction, teaching, research and School-level responsibilities.
- Academic Staff – for collaboration on teaching, curriculum, assessment and research activities.
- School/Faculty Committees – for academic governance and institutional activities.
- Undergraduate Students – for teaching, academic support, learning progression and mentoring.
- Research Collaborators – for individual and collaborative research activities.
- Industry and Professional Networks – for disciplinary engagement and work-integrated learning where relevant.
- University Colleagues – for academic, research and service activities across the School and Faculty.
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.
Where to apply: https://www.timeshighereducation.com/unijobs/listing/414868/assistant-professor-computer-science/