Big Data Analytics - Assistant Professor Vacancy in Dehradun, Uttarakhand
Tulas Institute
Job Description
Tulas Institute fosters a culture where curiosity meets practical problem-solving, blending classroom rigor with real-world data challenges. Faculty members here don’t just teach—they mentor students to analyze large datasets, design scalable systems, and apply analytics in domains like healthcare, finance, and smart cities. The university emphasizes interdisciplinary learning, encouraging collaboration across engineering, business, and computer science departments.
Job Overview
The ASSISTANT PROFESSOR - Big Data Analytics role at Tulas Institute invites passionate educators to shape the next generation of data professionals in Dehradun. This position is ideal for candidates eager to combine teaching with applied research in areas like machine learning pipelines, distributed computing, and predictive modeling. You will play a key role in building the university’s analytics curriculum and guiding students through capstone projects and internships.
Key Responsibilities
Teach undergraduate and postgraduate courses in Big Data Analytics, covering Hadoop, Spark, NoSQL databases, and data visualization tools. Design and deliver labs using Python, R, and cloud platforms like AWS and Azure to ensure hands-on learning. Guide students in final-year projects focused on real datasets from local industries and government agencies in Uttarakhand.
Mentor students through academic advising, career counseling, and placement preparation, especially for roles in analytics, data engineering, and AI. Participate in curriculum development by updating syllabi with emerging tools like TensorFlow, Kafka, and data lakes. Contribute to academic administration by serving on departmental committees and assisting in accreditation processes.
Required Qualifications
A Ph.D. in Computer Science, Data Science, or a closely related field from a UGC-recognized university is mandatory. Candidates with a Master’s degree in the same disciplines and at least 1 year of teaching or industry experience in Big Data Analytics will also be considered. NET/SLET qualification is preferred for those without a Ph.D., in line with UGC norms.
Experience with industry tools such as Apache Hadoop, Spark, Hive, or cloud-based analytics platforms is highly desirable. Familiarity with data governance, privacy laws, and ethical AI practices will be an added advantage for this Faculty Job in Dehradun, Uttarakhand.
Institution Environment
Tulas Institute offers a modern academic environment with high-speed computing labs, digital classrooms, and dedicated research centers focused on AI and data systems. The university’s Dehradun campus is equipped with GPU clusters, edge computing nodes, and industry-standard software licenses for analytics and simulation.
Students and faculty collaborate on projects addressing regional challenges, from tourism demand forecasting to disaster management using geospatial data. Regular guest lectures by analytics professionals from Delhi-NCR firms and IITs keep the curriculum aligned with industry needs.
Your Growth Path
Tulas Institute supports faculty growth through international collaborations with universities in Canada, Australia, and Singapore, offering exchange programs and joint research grants. Faculty members receive annual funding to attend conferences like IEEE Big Data or KDD, and present papers globally.
Sabbatical leaves are encouraged for advanced study or industry immersion, with support for visiting international labs or partner institutions. The university also promotes interdisciplinary research centers where Big Data Analytics intersects with public policy, healthcare informatics, and sustainable development.
What You Get
The ASSISTANT PROFESSOR Big Data Analytics Vacancy in Dehradun offers a monthly salary in the range of Rs.40,000 to Rs.55,000, commensurate with qualifications and experience. The compensation package includes comprehensive health insurance for the faculty member and dependents, along with provident fund contributions as per government norms.
Additional benefits include subsidized campus housing, meal facilities, and access to professional development courses through Tulas Institute’s online learning portal. Faculty also receive travel grants for academic purposes and support for patent filings and copyrights.