No. of Vacancies: 1
Advertisement No: SSSIHL/24-25/DMACS/ACA/045
Application Deadline: 15 June 2025
Employment Type: Full-time (Men applicants)
Salary: Basic: ₹57,700 + Dearness Allowance (DA) & House Rent Allowance (HRA) as per Institute rules (Higher qualifications and relevant experience will be considered)
Department of Mathematics and Computer Science, Prasanthi Nilayam Campus
ESSENTIAL QUALIFICATIONS & EXPERIENCE
- Ph.D. in Mathematics/Statistics with a specialization in any of the following thrust areas: i) Convex Optimization ii) Numerical Analysis iii) Combinatorics iv) Inventory Modelling v) Fuzzy Analysis vi) Computational Statistics
- Master’s degree in M.Sc. in Mathematics/Statistics with a Bachelor’s degree in Mathematics/Statistics.
- Must have cleared UGC NET/CSIR NET/SLET/SET (unless exempted as per UGC regulations for Ph.D. holders).
- Good academic performance in relevant fields from a recognized University/Institute
- Experience in High Performance Computing is desirable
- Research-oriented mindset with a focus on academic excellence.
- Ability to integrate modern learning tools and research methodologies
- Proficiency in English and ability to mentor students effectively
- Commitment to SSSIHL’s code of conduct and values-based integral education system
KEY RESPONSIBILITIES
Teaching and Academic Leadership
- Teach courses such as Calculus, Linear Algebra, Discrete Mathematics, Graph Theory, Probability and Statistics, Statistics for Data Science, Optimization Techniques, etc.
- Handle software lab courses such as C, C++, and Python.
- Design curriculum and instructional materials in alignment with Outcome-Based Education (OBE) principles.
- Integrate modern pedagogical approaches, including experiential learning and digital tools.
- Enable experiential learning
Research and Innovation
- Conduct high-impact research in any of the following thrust areas, aligning with institutional focus areas such as Health, Energy, and Environment: i) Convex Optimization ii) Numerical Analysis iii) Combinatorics iv) Inventory Modelling v) Fuzzy Analysis vi) Computational Statistics
- Publish in reputed peer-reviewed journals and present research findings at national and international conferences
- Collaborate with industry and academic institutions to strengthen research initiatives and foster innovation
- Seek and secure funded projects to support research and technological development
Student Engagement and Mentorship
- Participation in curricular, co-curricular activities
- Mentor students in academic and career development, including research guidance
- Actively contribute to departmental initiatives, including conferences, seminars, competitions, and research collaborations
- Support institutional committees by contributing to academic, administrative, and outreach activities
- Participate in NAAC-related data collection activities
HOW TO APPLY
To apply, candidates must email the following to [email protected] within the specified deadline with the subject line: SSSIHL/24-25/DMACS/ACA/045
STEP 1
Download and fill the SSSIHL Employment Application Form and Annexure (1)
STEP 2
Attach your detailed resume (must include details of Ph.D. qualification, NET/SLET/SET or other national level exams passed, teaching/professional experience, roles, and responsibilities in chronological order, list of research publications published in reputed UGC CARE journals and conference presentations & proceedings, list of research projects, significant achievements/recognitions, post-docs and research students guided, Areas of expertise and courses taught at UG/PG level, and at least two references (academic and/or professional)
STEP 3
Scanned copies of all certificates/documents related to your educational qualifications and professional experience
Note:
- Applicants desiring to apply for more than one position should submit separate applications for each. SSSIHL reserves the right to reject application forms that are incomplete and not as per specified requirements.
- SSSIHL reserves the right to call only the requisite number of candidates for an in-person demo and/or interview after shortlisting based on the candidate’s suitability for the vacant position. There will be no personal communication with candidates other than those shortlisted for the interview.
- All applicants are required to ensure that all the information submitted (Resume, Annexure form,and documents) is accurate and correct for scrutiny
- If any application is found to contain information that is inaccurate or false either during the employment process or after the appointment of the candidate, SSSIHL reserves the right to reject the application at any stage or take stringent action on the employee as deemed suitable.
Shortlisted applicants will be contacted for an interview.