Postdoctoral Fellow

This fellowship is ideal for highly motivated PhD graduates in Computer Science or Mathematics with a specialized background in privacy-preserving mechanisms, particularly in multi-agent systems. Candidates must demonstrate a strong publication record, including at least two first-author papers in high-impact journals (Q1/Q2) and top-tier conferences. Proficiency in Python and an interest in federated learning or differential privacy are highly desirable. The role suits individuals eager to lead independent research, contribute to PhD supervision, and engage in project proposal development within a dynamic academic environment.

Individuals without a PhD in Computer Science or Mathematics, or those whose doctoral work does not align with privacy-preserving distributed intelligence, should not apply. Candidates lacking a strong publication record (specifically, two first-author publications as stipulated) will not meet the essential qualifications. This is a temporary, two-year fellowship; those seeking permanent employment benefits or a long-term position directly after PhD may find it unsuitable, as PDF positions do not offer benefits applicable to permanent employees.

Working at IIT Roorkee, a globally recognized Institution of National Importance, offers significant prestige and exposure. This Postdoctoral Fellowship provides an excellent platform for researchers to further specialize in a cutting-edge field under the mentorship of Prof. Rajdeep Niyogi, enhancing their research profile and academic network. While temporary, the experience gained here is highly valued, opening doors to future research, academic, or industry positions in AI and data privacy. It's a stepping stone for establishing an independent research career.