Data Structures - Assistant Professor Vacancy in Dehradun, Uttarakhand
Tulas Institute
Full Time
Job Description
ASSISTANT PROFESSOR - Data Structures in Dehradun, Uttarakhand | University Recruitment
Tulas Institute fosters a culture where curiosity meets practical application, blending rigorous academics with hands-on problem-solving in data structures and algorithms.
About This Role
The Data Structures ASSISTANT PROFESSOR Job in Dehradun will deliver core courses in undergraduate and postgraduate programs, mentor students in capstone projects, and contribute to curriculum development aligned with industry trends. This ASSISTANT PROFESSOR Data Structures Vacancy in Dehradun is ideal for educators who thrive in a dynamic classroom setting while engaging in applied research.
Institution Environment
Tulas Institute provides modern infrastructure with smart classrooms, high-speed computing labs, and dedicated research centers focused on AI and data engineering. Faculty benefit from a collaborative ecosystem where theoretical knowledge is tested against real-world datasets. The university actively promotes interdisciplinary projects involving data structures and cloud computing.
Day-to-Day Duties
Teach Data Structures, Algorithms, and related electives using C++, Python, and Java, with emphasis on time complexity and space optimization. Conduct weekly problem-solving sessions to reinforce concepts learned in lectures. Guide final-year students in building scalable applications using advanced data structures like graphs, tries, and hash tables.
Oversee curriculum design for new courses in competitive programming and database internals. Participate in student advising, especially for placement preparation in top tech firms. Serve on academic committees to review course content and assessment patterns. Collaborate with industry partners to integrate cloud platforms like AWS and Azure into lab work.
Required Qualifications
Postgraduate degree in Computer Science, Information Technology, or related field with specialization in Data Structures and Algorithms. Ph.D. preferred; candidates without Ph.D. must have qualified UGC-NET/CSIR-NET or SET with two years of teaching experience. Industry experience in software development or data engineering is highly desirable.
Publications in data structures, algorithm design, or computational complexity are an added advantage. Familiarity with competitive programming platforms such as Codeforces or LeetCode is beneficial. Tulas Institute values educators who balance teaching excellence with applied research output.
Your Growth Path
Faculty at Tulas Institute can pursue international collaborations through MoUs with universities in Canada and Singapore. Attend and present research papers at premier conferences such as ICDCN and ACPR with partial funding support. Sabbatical opportunities are available for visiting scholar programs abroad.
Engage in funded projects under the university’s Centre for Data Science and contribute to patent filings in algorithm optimization. Participate in hackathons and coding bootcamps to stay connected with industry practices. Mentorship programs allow junior faculty to grow into leadership roles over time.
What You Get
Compensation is between Rs.40,000 and Rs.55,000 per month based on qualifications and experience. Comprehensive health insurance covers self and dependents with annual check-up facilities. Retirement benefits include provident fund and gratuity as per government norms.
Professional development allowance supports certification in cloud computing or AI tools. Access to digital libraries, IEEE Xplore, and ACM DL is provided for continuous learning. The university also offers subsidized on-campus accommodation for new faculty members.
Faculty Job in Dehradun, Uttarakhand offers a unique opportunity to shape the next generation of data professionals while contributing to cutting-edge research at Tulas Institute.
Tulas Institute fosters a culture where curiosity meets practical application, blending rigorous academics with hands-on problem-solving in data structures and algorithms.
About This Role
The Data Structures ASSISTANT PROFESSOR Job in Dehradun will deliver core courses in undergraduate and postgraduate programs, mentor students in capstone projects, and contribute to curriculum development aligned with industry trends. This ASSISTANT PROFESSOR Data Structures Vacancy in Dehradun is ideal for educators who thrive in a dynamic classroom setting while engaging in applied research.
Institution Environment
Tulas Institute provides modern infrastructure with smart classrooms, high-speed computing labs, and dedicated research centers focused on AI and data engineering. Faculty benefit from a collaborative ecosystem where theoretical knowledge is tested against real-world datasets. The university actively promotes interdisciplinary projects involving data structures and cloud computing.
Day-to-Day Duties
Teach Data Structures, Algorithms, and related electives using C++, Python, and Java, with emphasis on time complexity and space optimization. Conduct weekly problem-solving sessions to reinforce concepts learned in lectures. Guide final-year students in building scalable applications using advanced data structures like graphs, tries, and hash tables.
Oversee curriculum design for new courses in competitive programming and database internals. Participate in student advising, especially for placement preparation in top tech firms. Serve on academic committees to review course content and assessment patterns. Collaborate with industry partners to integrate cloud platforms like AWS and Azure into lab work.
Required Qualifications
Postgraduate degree in Computer Science, Information Technology, or related field with specialization in Data Structures and Algorithms. Ph.D. preferred; candidates without Ph.D. must have qualified UGC-NET/CSIR-NET or SET with two years of teaching experience. Industry experience in software development or data engineering is highly desirable.
Publications in data structures, algorithm design, or computational complexity are an added advantage. Familiarity with competitive programming platforms such as Codeforces or LeetCode is beneficial. Tulas Institute values educators who balance teaching excellence with applied research output.
Your Growth Path
Faculty at Tulas Institute can pursue international collaborations through MoUs with universities in Canada and Singapore. Attend and present research papers at premier conferences such as ICDCN and ACPR with partial funding support. Sabbatical opportunities are available for visiting scholar programs abroad.
Engage in funded projects under the university’s Centre for Data Science and contribute to patent filings in algorithm optimization. Participate in hackathons and coding bootcamps to stay connected with industry practices. Mentorship programs allow junior faculty to grow into leadership roles over time.
What You Get
Compensation is between Rs.40,000 and Rs.55,000 per month based on qualifications and experience. Comprehensive health insurance covers self and dependents with annual check-up facilities. Retirement benefits include provident fund and gratuity as per government norms.
Professional development allowance supports certification in cloud computing or AI tools. Access to digital libraries, IEEE Xplore, and ACM DL is provided for continuous learning. The university also offers subsidized on-campus accommodation for new faculty members.
Faculty Job in Dehradun, Uttarakhand offers a unique opportunity to shape the next generation of data professionals while contributing to cutting-edge research at Tulas Institute.
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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