Deep Learning - Professor Vacancy in Rahe, Ranchi, Jharkhand
Cambridge institute of technology
Job Description
Job Overview
The Department of Computer Science and Engineering at Cambridge Institute Of Technology is inviting applications for the position of PROFESSOR - Deep Learning. Known for its strong research output in artificial intelligence and machine learning, the department has collaborations with industries in Ranchi and beyond. The team regularly publishes in top-tier journals and presents at international conferences focused on neural networks and data science.
Cambridge Institute Of Technology encourages interdisciplinary research where deep learning intersects with domains like healthcare informatics, smart city applications, and financial analytics. The university provides seed funding for early-stage projects and maintains state-of-the-art GPU clusters for research work.
What You Will Do
Teach advanced courses such as Advanced Machine Learning, Neural Networks, and Computer Vision at the undergraduate and postgraduate levels in Ranchi. Design curriculum content that aligns with emerging trends in deep learning and industry expectations from graduates in Jharkhand.
Lead funded research projects in areas like explainable AI, reinforcement learning, and edge AI, leveraging the institute’s industry connections in Ranchi. Publish findings in Scopus-indexed and Web of Science journals to strengthen the department’s global visibility.
Guide doctoral students pursuing Ph.D. in Deep Learning, from topic selection to thesis submission. Supervise M.Tech dissertations with a focus on applied deep learning solutions relevant to regional challenges.
Organize workshops and invited talks by leading researchers in deep learning to enrich the academic ecosystem in Jharkhand. Collaborate with other departments at Cambridge Institute Of Technology to integrate AI across curricula.
What You Will Do
Contribute to the university’s Centre of Excellence in AI and Data Science by mentoring junior faculty and coordinating research initiatives. Review technical papers for conferences and journals to support peer recognition in the field.
Engage with local industries in Ranchi to identify real-world problems that can be solved using deep learning techniques. Assist in grant writing to secure external funding for long-term research programs.
Eligibility Criteria
A Ph.D. in Computer Science, Electronics, or a related field with specialization in Deep Learning is mandatory. Candidates must have at least five years of post-Ph.D. teaching and research experience in a university or research institution.
Preference will be given to candidates with a post-doctoral fellowship or industry research experience in AI labs. UGC-NET with JRF or CSIR-NET qualification is required if Ph.D. is not completed; otherwise, it is desirable.
Research Opportunities
Cambridge Institute Of Technology offers seed grants up to Rs. 5 lakh for exploratory deep learning projects. Collaborations are encouraged with universities in eastern India and national labs like C-DAC for joint research.
Faculty members can apply for DST-SERB, DRDO, and ISRO grants through the institute’s sponsored research cell. The university provides open-access publication support for Scopus and Web of Science indexed journals.
Doctoral Guidance
Supervise a minimum of two Ph.D. scholars at any given time, guiding them through literature review, methodology design, and thesis writing. Participate in doctoral committees across departments to ensure interdisciplinary research standards.
Evaluate doctoral theses and serve as external examiner for Ph.D. defenses at other universities. Mentor students toward publishing in top-tier AI conferences and journals during their research tenure.
Perks and Pay
The monthly salary for this PROFESSOR position ranges from Rs.60,000 to Rs.90,000, as per UGC norms for the pay scale of Professor Grade-I. Additional research grants up to Rs. 2 lakh per year are available for approved projects.
Cambridge Institute Of Technology provides furnished accommodation on campus or a housing allowance for outstation candidates. Medical insurance, travel support for conferences, and subsidized meal plans are included as part of the benefits package.