Deep Learning - Assistant Professor Vacancy in Hasanparthy, Warangal, Telangana
SR University
Full Time
Job Description
ASSISTANT PROFESSOR - Deep Learning in Warangal, Telangana | University Recruitment
Sr University blends academic tradition with modern innovation, creating a culture where curiosity meets practical problem-solving. Faculty here are encouraged to explore interdisciplinary research while mentoring students who come from across Telangana and beyond. The campus in Hasanparthy buzzes with discussions on neural networks, ethics in AI, and real-world applications of deep learning.
Role Summary
The ASSISTANT PROFESSOR - Deep Learning will lead undergraduate and postgraduate courses in artificial intelligence, machine learning, and deep learning frameworks. Sr University seeks a faculty member who can bridge theory with hands-on implementation using Python, TensorFlow, and PyTorch. Teaching excellence and research engagement in deep learning applications are core expectations.
What It Is Like Here
Sr University’s campus in Hasanparthy features modern digital classrooms equipped with AI-powered labs and high-performance computing clusters. Research centers like the Center for Artificial Intelligence and Data Science support faculty-led projects in computer vision, natural language processing, and reinforcement learning. Regular seminars and guest lectures by industry experts keep the academic environment vibrant and connected to real-world advancements.
Day-to-Day Duties
Teaching responsibilities include delivering lectures on deep learning algorithms, convolutional neural networks, and recurrent neural networks for students in B.Tech, M.Tech, and MCA programs. Designing and updating curricula to reflect emerging trends in deep learning such as transformers, generative models, and federated learning. Guiding student projects and dissertations focused on practical deep learning applications in healthcare, agriculture, or smart cities.
Providing academic and career counseling to students specializing in AI and data science. Collaborating with the department to organize workshops, hackathons, and coding sprints centered on deep learning tools and datasets. Participating in curriculum review committees and accreditation processes to maintain academic standards. Supervising lab sessions where students implement models on real datasets like MNIST or ImageNet.
Engaging in departmental meetings and contributing to strategic planning for AI research initiatives. Assisting in the development of online learning modules and digital content for courses in deep learning. Supporting the placement cell in connecting students with AI startups and tech firms for internships and jobs.
Who Can Apply
Candidates must hold a postgraduate degree in Computer Science, Electronics, or a related field with a specialization in Deep Learning or Machine Learning. A Ph.D. in Deep Learning or a closely related discipline from a recognized university is mandatory. Applicants with prior teaching experience in AI or industry exposure in developing deep learning models will be preferred.
Candidates appearing for UGC-NET, CSIR-NET, or SET qualified are eligible to apply if Ph.D. is not completed. Sr University values practical experience in implementing deep learning solutions using frameworks like Keras, TensorFlow, or PyTorch. Familiarity with cloud platforms such as AWS SageMaker or Google Colab is desirable.
Learning and Development
Sr University encourages faculty to collaborate with international universities and research labs on joint projects in deep learning. Funding support is available for attending top-tier conferences such as NeurIPS, ICML, or ICLR. Faculty members can avail sabbaticals for research or industry immersion in AI labs abroad.
Internal seed grants are offered for innovative research proposals in deep learning applications. Workshops on emerging tools like JAX, Hugging Face, or diffusion models are organized regularly. Participation in faculty exchange programs with partner institutions in the US, Europe, or Singapore is encouraged.
Perks and Pay
The ASSISTANT PROFESSOR - Deep Learning Position in Warangal, Telangana offers a salary between Rs.30,000 and Rs.45,000 per month based on qualifications and experience. Comprehensive health insurance coverage is provided for faculty and dependents under the university’s group mediclaim policy.
Provident fund contributions and gratuity benefits are included as per government norms. Access to on-campus housing or rental assistance is available depending on availability. Faculty can avail subsidized meal plans at the campus cafeteria and free parking facilities.
Professional development allowances cover books, software licenses, and online course subscriptions. Support for patent filing and publication costs in peer-reviewed journals is provided. Memberships to professional bodies like IEEE or ACM are reimbursed upon request.
Sr University blends academic tradition with modern innovation, creating a culture where curiosity meets practical problem-solving. Faculty here are encouraged to explore interdisciplinary research while mentoring students who come from across Telangana and beyond. The campus in Hasanparthy buzzes with discussions on neural networks, ethics in AI, and real-world applications of deep learning.
Role Summary
The ASSISTANT PROFESSOR - Deep Learning will lead undergraduate and postgraduate courses in artificial intelligence, machine learning, and deep learning frameworks. Sr University seeks a faculty member who can bridge theory with hands-on implementation using Python, TensorFlow, and PyTorch. Teaching excellence and research engagement in deep learning applications are core expectations.
What It Is Like Here
Sr University’s campus in Hasanparthy features modern digital classrooms equipped with AI-powered labs and high-performance computing clusters. Research centers like the Center for Artificial Intelligence and Data Science support faculty-led projects in computer vision, natural language processing, and reinforcement learning. Regular seminars and guest lectures by industry experts keep the academic environment vibrant and connected to real-world advancements.
Day-to-Day Duties
Teaching responsibilities include delivering lectures on deep learning algorithms, convolutional neural networks, and recurrent neural networks for students in B.Tech, M.Tech, and MCA programs. Designing and updating curricula to reflect emerging trends in deep learning such as transformers, generative models, and federated learning. Guiding student projects and dissertations focused on practical deep learning applications in healthcare, agriculture, or smart cities.
Providing academic and career counseling to students specializing in AI and data science. Collaborating with the department to organize workshops, hackathons, and coding sprints centered on deep learning tools and datasets. Participating in curriculum review committees and accreditation processes to maintain academic standards. Supervising lab sessions where students implement models on real datasets like MNIST or ImageNet.
Engaging in departmental meetings and contributing to strategic planning for AI research initiatives. Assisting in the development of online learning modules and digital content for courses in deep learning. Supporting the placement cell in connecting students with AI startups and tech firms for internships and jobs.
Who Can Apply
Candidates must hold a postgraduate degree in Computer Science, Electronics, or a related field with a specialization in Deep Learning or Machine Learning. A Ph.D. in Deep Learning or a closely related discipline from a recognized university is mandatory. Applicants with prior teaching experience in AI or industry exposure in developing deep learning models will be preferred.
Candidates appearing for UGC-NET, CSIR-NET, or SET qualified are eligible to apply if Ph.D. is not completed. Sr University values practical experience in implementing deep learning solutions using frameworks like Keras, TensorFlow, or PyTorch. Familiarity with cloud platforms such as AWS SageMaker or Google Colab is desirable.
Learning and Development
Sr University encourages faculty to collaborate with international universities and research labs on joint projects in deep learning. Funding support is available for attending top-tier conferences such as NeurIPS, ICML, or ICLR. Faculty members can avail sabbaticals for research or industry immersion in AI labs abroad.
Internal seed grants are offered for innovative research proposals in deep learning applications. Workshops on emerging tools like JAX, Hugging Face, or diffusion models are organized regularly. Participation in faculty exchange programs with partner institutions in the US, Europe, or Singapore is encouraged.
Perks and Pay
The ASSISTANT PROFESSOR - Deep Learning Position in Warangal, Telangana offers a salary between Rs.30,000 and Rs.45,000 per month based on qualifications and experience. Comprehensive health insurance coverage is provided for faculty and dependents under the university’s group mediclaim policy.
Provident fund contributions and gratuity benefits are included as per government norms. Access to on-campus housing or rental assistance is available depending on availability. Faculty can avail subsidized meal plans at the campus cafeteria and free parking facilities.
Professional development allowances cover books, software licenses, and online course subscriptions. Support for patent filing and publication costs in peer-reviewed journals is provided. Memberships to professional bodies like IEEE or ACM are reimbursed upon request.
About School
Welcome to SR University in Hasanparthy, Warangal, Telangana, where we're passionate about creating a vibrant academic culture that inspires our students to reach their full potential. Our university is situated in a picturesque area of Warangal, making it an ideal location for students to focus on their studies and personal growth. As an AICTE-affiliated institution, we're committed to delivering high-quality education that prepares our students for the challenges of the modern world.
At SR University, you'll find a diverse student body...
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