Deep Learning - Assistant Professor Vacancy in Guhwati, Assam
The Assam Royal Global University
Job Description
Role Summary
The Assam Royal Global University invites applications for the position of ASSISTANT PROFESSOR - Deep Learning Vacancy in Assam. This full-time role focuses on teaching, research, and project guidance in Deep Learning at undergraduate and postgraduate levels. Candidates with a passion for neural networks, computer vision, and AI applications are encouraged to apply.
What You Will Do
Teach core and elective courses in Deep Learning for B.Tech and M.Tech programs at The Assam Royal Global University. Design and deliver lectures, tutorials, and laboratory sessions using modern pedagogical tools. Evaluate student performance through assignments, projects, and examinations as per university guidelines.
Prepare and update course materials including lecture notes, lab manuals, and reference lists for Deep Learning subjects. Conduct tutorials on frameworks like TensorFlow, PyTorch, and Keras for hands-on learning. Guide students in capstone projects, internships, and research initiatives in Deep Learning.
Organize workshops, seminars, and guest lectures by industry experts in AI and machine learning. Collaborate with departmental faculty to develop interdisciplinary projects involving Deep Learning applications. Participate in curriculum development and accreditation processes for engineering programs.
Master Level Teaching
At the master’s level, teach specialized courses such as Advanced Neural Networks, Reinforcement Learning, and Natural Language Processing. Supervise M.Tech dissertations and guide students in publishing research findings in peer-reviewed journals. Mentor students in applying Deep Learning to real-world problems in healthcare, finance, and robotics.
Encourage students to participate in national and international conferences and competitions. Facilitate industry-academia collaborations for live projects and internships in Deep Learning. Support the university’s vision of fostering innovation through applied research in AI technologies.
Required Qualifications
Candidates must possess a Ph.D. in Computer Science, Data Science, or a related field with at least 55% marks from a recognized university. NET/SLET qualified candidates will be preferred if Ph.D. is not completed. Minimum 1 year of teaching or research experience in Deep Learning is required.
A strong publication record in Scopus/WoS indexed journals related to Deep Learning is essential. Proficiency in programming languages such as Python, C++, and frameworks like TensorFlow and PyTorch is mandatory. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure is desirable.
Required Qualifications (continued)
Familiarity with CUDA programming and GPU computing for Deep Learning applications is a plus. Experience in guiding undergraduate and postgraduate projects in AI/ML is preferred. Ability to teach both theoretical concepts and practical implementations of Deep Learning algorithms.
Career Opportunities
The Assam Royal Global University offers structured career advancement through API score-based promotions as per UGC norms. Faculty members are encouraged to enhance their academic profile through research grants and consultancy projects. Participation in national and international conferences is supported for professional growth.
API score requirements apply for promotions to Associate Professor and Professor levels. Faculty members are eligible for research funding under university and government schemes. Opportunities exist for leading center of excellence initiatives in AI and Deep Learning.
What You Get
The selected candidate will receive a monthly salary between Rs.30,000 and Rs.60,000 based on qualifications and experience. Additional allowances such as HRA, medical, and travel benefits are provided as per UGC and state government norms. The university offers a supportive academic environment with modern infrastructure and research facilities.
Faculty members are eligible for sabbatical leaves, conference grants, and professional development support. The university promotes work-life balance with flexible teaching schedules and administrative support. Contributions to teaching, research, and institutional development are recognized and rewarded.