As a Talent Acquisition Specialist at Presidency University , you will play a pivotal role in shaping the institution’s future by attracting, selecting, and onboarding top talent across academic, administrative, and leadership roles. You will drive end-to-end recruitment processes, build talent pipelines, and implement innovative hiring strategies to support the University’s growth and vision. This role involves close collaboration with Deans, Heads of Departments, and senior leadership to understand staffing needs and deliver high-quality hires aligned with academic and institutional excellence. Beyond filling positions, you will be instrumental in strengthening the employer brand, enhancing candidate experience, and adopting data-driven approaches to talent acquisition. Key focus areas include: Managing full-cycle recruitment (sourcing to onboarding). Building robust talent pools for current and future needs. Leveraging digital platforms and networks to attract top talent. Partnering with leadership to forecast hiring needs. Ensuring diversity, fairness, and compliance in all recruitment practices. This is a unique opportunity to contribute to the growth of a dynamic and forward-looking institution while advancing your career in strategic HR and talent management.
About the Role: Presidency University invites applications from dynamic, passionate, and research-driven candidates for faculty positions in the Department of Computer Science & Engineering. The ideal candidate will demonstrate excellence in teaching, a strong research record, and commitment to student mentoring and academic innovation. Key Responsibilities Deliver high-quality teaching at undergraduate and postgraduate levels in CSE. Supervise student projects, internships, and dissertations. Undertake independent and collaborative research leading to high-impact publications. Develop funded research/consultancy projects in collaboration with industry and government agencies. Mentor students in academic, research, and career development activities. Contribute to curriculum design, academic planning, and continuous improvement initiatives. Engage in departmental/University committees and professional activities. Areas of Specialization (preferred but not limited to): Artificial Intelligence & Machine Learning (AI/ML) Data Science & Big Data Analytics Cloud Computing & Distributed Systems Cyber Security & Blockchain Internet of Things (IoT) Software Engineering & DevOps High Performance Computing Eligibility & Qualifications Ph.D. in Computer Science & Engineering (mandatory for Associate Professor/Professor positions). First-class Master’s degree in CSE or related specialization (mandatory for Assistant Professor). Demonstrated teaching/research experience at a recognized institution. Strong research record with publications in reputed journals/conferences (SCI/Scopus indexed preferred). Ability to attract external funding and build collaborations with academia/industry. Excellent communication, interpersonal, and mentoring skills. Why Join Us? Be part of a vibrant and growing academic community committed to excellence. Opportunities for interdisciplinary research and industry collaboration. State-of-the-art laboratories, infrastructure, and resources to support teaching & research. A supportive environment fostering professional growth, innovation, and global exposure.