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Asst. Professor (Mathematics)

Department of Mathematics & Computer Science

No. of Vacancies: 1
Application Deadline: 1 March 2026
Salary: Basic (as per UGC 7th CPC Pay Matrix). Dearness Allowance (5% of Basic) + House Rent Allowance (8% of Basic) + TA and other benefits and deductions shall be applicable as per SSSIHL norms
Note: Higher qualifications and relevant experience will be considered for higher academic levels.

Employment Type: Full-time (Men applicants only)
Campus: Nandigiri Campus
Advertisement No: SSSIHL/25-26/DMACS/ACA/024

KEY RESPONSIBILITIES

TEACHING & 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.
  • Active participation in curriculum design and and instructional materials aligned with Outcome-Based Education (OBE) principles
  • Integrate modern pedagogical approaches, including experiential learning and digital tools
  • Enable experiential learning

RESEARCH & INNOVATION

  • Conduct high-impact research in any of the following thrust areas, aligning with institutional focus areas such as Health, Energy and Environment: Convex Optimization, Numerical Analysis, Combinatorics, Inventory Modelling, Fuzzy Analysis and Computational Statistics
  • Publish in high-impact factor reputed international journals and present 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

INSTITUTIONAL RESPONSIBILITIES & STUDENT ENGAGEMENT

  • Participation in curricular and co-curricular activities
  • Enable experiential learning
  • Mentor students in academic and career development, including research guidance
  • Support student engagement in competitive exams, innovation challenges, and extracurricular activities
  • Actively participate in departmental and institutional committees, contributing to academic and administrative work
  • Contribute towards NAAC-related data collection and editing

ESSENTIAL QUALIFICATIONS & EXPERIENCE

  • Ph.D. in Mathematics/Statistics with a specialization in any of the following thrust areas: Convex Optimization, Numerical Analysis, Combinatorics, Inventory Modelling, Fuzzy Analysis or Computational Statistics.
  • Master’s and Bachelor’s degrees 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. Master’s degree with at least 55% (50% in case of SC/ST/OBC (non-creamy layer)/PWD).
  • Research-oriented mindset with a focus on academic excellence.
  • Research publications in high-impact factor, reputed international journals.
  • Ability to integrate modern learning tools and research methodologies.
  • Proficiency in English and the ability to mentor students effectively.
  • Commitment to SSSIHL’s code of conduct and values-based integral education system.

HOW TO APPLY

All applicants must complete the SSSIHL Employment Application form by the specified deadline.

NOTES

  • Applicants who wish to apply for more than one position should submit separate applications for each position.
  • SSSIHL reserves the right to reject incomplete or non-compliant application forms.
  • 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 except those shortlisted for the interview.
  • All applicants are required to ensure that all information submitted (resume, annexure form, and documents) is accurate and correct for scrutiny.
  • If any application is found to contain inaccurate or false information either during the employment process or after the appointment of the candidate, SSSIHL reserves the right to reject the application at any stage or to take stringent action against the employee as deemed suitable.