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Research Assistant (CADS)

The Center of Excellence for Actuarial Data Science (CADS)

No. of Vacancies: 4
Advertisement No: SSSIHL/24-25/CADS/ACA/059
Application Deadline: 13 July 2025
Project Tenure: 1 Year (renewed end of the year)
Employment Type: Full-time (Men applicants)
Fellowship: ₹15,000

ESSENTIAL QUALIFICATIONS & EXPERIENCE

  • Master’s degree in M.Sc. / M.Tech. in Computer Science or Data Science or MCA/ M.Sc. in Actuarial Science or B.Sc. in Actuarial Science with a minimum of 2 actuarial exams passed
  • Good academic performance in relevant fields from a recognized University/Institute
  • 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

The candidate will be required to carry out the following tasks under the guidance and supervision of the Senior Professor Pallav Kumar Baruah and Adjunct Professor Satya Sai Mudigonda:

  • Data Analysis and Modeling: Develop and implement statistical models to analyze large datasets for actuarial applications.
  • Research and Development: Conduct cutting-edge research in actuarial data science, focusing on risk assessment, predictive modeling, and financial forecasting.
  • Collaboration: Work closely with actuaries, data scientists, and other researchers to integrate data-driven insights into actuarial practices.
  • Publication and Reporting: Publish research findings in reputable journals and present results at conferences and seminars.
  • Mentorship and Guidance: Provide guidance to junior researchers and contribute to the academic growth of the research team.
  • Industry Liaison: Engage with industry stakeholders to translate research outcomes into practical solutions for actuarial challenges.
  • Selected Candidates will be encouraged to register for a Ph.D. in Actuarial Data Science as and when SSSIHL invites applications.

HOW TO APPLY

To apply, candidates must email the following to [email protected] within the specified deadline with the subject line: SSSIHL/24-25/CADS/ACA/059

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.