Deep Learning - Professor Vacancy in Dehradun, Uttarakhand
Tulas Institute
Full Time
Job Description
PROFESSOR - Deep Learning in Dehradun, Uttarakhand | University Recruitment — Applications invited as per UGC norms.
Job Overview
Tulas Institute invites applications for the PROFESSOR Deep Learning Vacancy in Dehradun under UGC norms. This full-time PROFESSOR Deep Learning Position in Dehradun, Uttarakhand offers an opportunity to shape the academic and research landscape in artificial intelligence. The role is open to candidates with a PhD and six years of relevant experience in Deep Learning.
Key Responsibilities
Teach undergraduate and postgraduate courses in Deep Learning, including neural networks, reinforcement learning, and computer vision. Guide master’s level projects and dissertations in specialized Deep Learning domains. Develop and update curriculum aligned with emerging trends in AI and machine learning.
Supervise doctoral students and coordinate research projects funded by government agencies or industry partners. Organize workshops and seminars on Deep Learning applications in healthcare, robotics, and natural language processing. Collaborate with national and international institutions for joint research and student exchange programs.
Assess student performance through assignments, lab work, and viva voce examinations. Mentor junior faculty and participate in academic committees at Tulas Institute. Ensure compliance with UGC and AICTE guidelines for course delivery and assessment.
PG Class Profile
The master level courses include Advanced Deep Learning, Optimization Techniques, and AI Ethics. Students work on real-world datasets and publish findings in peer-reviewed journals under faculty guidance. Thesis supervision focuses on cutting-edge problems in neural architecture search and explainable AI.
Eligibility Criteria
PhD in Computer Science, Electronics, or related field with minimum 55% marks from a recognized university. Must have cleared NET/SLET or possess a PhD degree as per UGC regulations. Candidates should have at least six publications in peer-reviewed journals with significant impact in Deep Learning.
Additional preference will be given to those with patents or funded research projects in AI. Experience in guiding PhD scholars and handling interdisciplinary projects is desirable. Familiarity with Dehradun’s academic ecosystem and industry collaborations is an added advantage.
Career Opportunities
Tulas Institute supports career advancement through API score-based promotions as per UGC norms. Faculty members can rise to senior academic leadership roles with increasing responsibilities. Participation in national and international conferences enhances visibility and professional growth.
Research funding opportunities are available through state and central government schemes. Opportunities exist to lead centers of excellence in AI and Deep Learning at Tulas Institute. Collaborative projects with IITs, NITs, and private sector partners broaden research horizons.
What You Get
The university offers a competitive salary of Rs.70,000 to Rs.120,000 per month for this PROFESSOR Deep Learning Job in Dehradun. Additional allowances include HRA, medical benefits, and travel grants as per UGC guidelines. Faculty members also receive support for attending conferences and professional development programs.
Tulas Institute provides a conducive environment for teaching and research in Deep Learning. The university is committed to fostering innovation and excellence in higher education in Uttarakhand. Join as a PROFESSOR Deep Learning in Dehradun and contribute to shaping the future of AI education.
Job Overview
Tulas Institute invites applications for the PROFESSOR Deep Learning Vacancy in Dehradun under UGC norms. This full-time PROFESSOR Deep Learning Position in Dehradun, Uttarakhand offers an opportunity to shape the academic and research landscape in artificial intelligence. The role is open to candidates with a PhD and six years of relevant experience in Deep Learning.
Key Responsibilities
Teach undergraduate and postgraduate courses in Deep Learning, including neural networks, reinforcement learning, and computer vision. Guide master’s level projects and dissertations in specialized Deep Learning domains. Develop and update curriculum aligned with emerging trends in AI and machine learning.
Supervise doctoral students and coordinate research projects funded by government agencies or industry partners. Organize workshops and seminars on Deep Learning applications in healthcare, robotics, and natural language processing. Collaborate with national and international institutions for joint research and student exchange programs.
Assess student performance through assignments, lab work, and viva voce examinations. Mentor junior faculty and participate in academic committees at Tulas Institute. Ensure compliance with UGC and AICTE guidelines for course delivery and assessment.
PG Class Profile
The master level courses include Advanced Deep Learning, Optimization Techniques, and AI Ethics. Students work on real-world datasets and publish findings in peer-reviewed journals under faculty guidance. Thesis supervision focuses on cutting-edge problems in neural architecture search and explainable AI.
Eligibility Criteria
PhD in Computer Science, Electronics, or related field with minimum 55% marks from a recognized university. Must have cleared NET/SLET or possess a PhD degree as per UGC regulations. Candidates should have at least six publications in peer-reviewed journals with significant impact in Deep Learning.
Additional preference will be given to those with patents or funded research projects in AI. Experience in guiding PhD scholars and handling interdisciplinary projects is desirable. Familiarity with Dehradun’s academic ecosystem and industry collaborations is an added advantage.
Career Opportunities
Tulas Institute supports career advancement through API score-based promotions as per UGC norms. Faculty members can rise to senior academic leadership roles with increasing responsibilities. Participation in national and international conferences enhances visibility and professional growth.
Research funding opportunities are available through state and central government schemes. Opportunities exist to lead centers of excellence in AI and Deep Learning at Tulas Institute. Collaborative projects with IITs, NITs, and private sector partners broaden research horizons.
What You Get
The university offers a competitive salary of Rs.70,000 to Rs.120,000 per month for this PROFESSOR Deep Learning Job in Dehradun. Additional allowances include HRA, medical benefits, and travel grants as per UGC guidelines. Faculty members also receive support for attending conferences and professional development programs.
Tulas Institute provides a conducive environment for teaching and research in Deep Learning. The university is committed to fostering innovation and excellence in higher education in Uttarakhand. Join as a PROFESSOR Deep Learning in Dehradun and contribute to shaping the future of AI education.
About School
Tulas Institute, situated in the scenic city of Dehradun, Uttarakhand, is a place where students from diverse backgrounds come together to learn and grow. Established in 2006 under the Rishabh Educational Trust, the institution has built a strong reputation in the region for providing quality education with a forward-thinking approach. Backed by the prestigious UGC recognition and NAAC A+ accreditation, Tulas Institute is dedicated to maintaining high academic standards while continuously evolving to meet the demands of a rapidly changing...
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