Job Details

IIT Indian School of Mines Dhanbad (IIT ISM Dhanbad) has released an official notification for the recruitment of 01 Research Assistant Posts. Interested and eligible candidates can apply Offline through the official IIT ISM Dhanbad website. The last date to submit the application form is 09-02-2026. In this article, you’ll find the IIT ISM Dhanbad Research Assistant Posts recruitment details, including eligibility criteria, age limit, salary structure, selection process, application steps, and direct links to the official notification and Offline application form. Trending Govt Jobs India Post GDS Online Form 2026 UPSC CSE Online Form 2026 RRB 22000 Group D Online form 2026 IAF Agniveer New Recruitment 2026 Yantra India YIL 3979 Trade Apprentices Online Form 2026 Advertisement Organization Indian Institute of Technology (Indian School of Mines), Dhanbad Department Mining Engineering Post Name Research Assistant Number of Posts 1 Project Title AI-enabled Mine Inspection for Health and Safety and Data Analyses for Development of Risk Indices (AIMSURE) Project Number IIT (ISM) SRDP 1256 I Sanction No & Date DAR/27/2025-26, 01/01/2026 Official Website iitism.ac.in Free Online Mock Tests View all Railway NTPC Mock Test Attempt Now IBPS Clerk Mock Test Attempt Now SSC CHSL Mock Test Attempt Now View All Mock Tests Post Vacancies Fellowship Duration Research Assistant 1 Rs. 10,000/- per month 1 year (co-terminus with project) Educational Qualification: B.Tech degree in any Engineering discipline from recognized institution Mining Engineering Computer Science & Engineering Data Science AI/ML Engineering Environmental Engineering Earth Sciences Or related engineering discipline Technical Skills: Highly proficient in: Programming languages (Python, C++, etc.) Machine Learning algorithms and applications Data analysis and visualization Academic Performance: Minimum 70% marks or equivalent CGPA throughout academics Graduates in Engineering and Sciences with demonstrated work in: GitHub repositories Kaggle competitions/projects Any other relevant portfolio Demo/proof of previous work or projects Publications in relevant areas Prior research/internship experience in AI/ML Experience with data collection and field work Category Age Limit General/OBC Maximum 25 years SC/ST Age relaxation as per GOI rules With Research/Work Experience Additional 2 years relaxation Age Calculation Date: As on the date of interview Monthly Fellowship Rs. 10,000/- (Consolidated) Type of Appointment Purely Temporary Initial Duration 1 year Extension Subject to project extension and satisfactory performance Joining Period Within 2 weeks from date of communication of result Field Work: Conduct field investigations and site surveys for mine inspection Data Collection: Collect health and safety data from mining sites Data Analysis: Analyze collected data using statistical and ML methods Graph/Visualization: Create graphs and visualizations of analyzed data Software Development: Design and develop software modules for: Slope stability analysis Air quality assessment/monitoring AI Implementation: Implement AI-enabled solutions for mine inspection Risk Indices Development: Contribute to development of risk assessment indices Event Date & Time Advertisement Date 28.01.2026 Last Date & Time for Application Submission 09.02.2026 (Monday) at 5:00 PM (IST) Interview Date To be communicated to shortlisted candidates via email Joining Period Within 2 weeks from date of result communication Completed application form (plain paper with biodata) Passport-size photograph (self-attested) B.Tech degree certificate (self-attested copy) Mark sheets of all semesters (self-attested copies) Date of birth proof (Birth certificate/Class 10 certificate) (self-attested) Work/research experience certificate (if applicable) (self-attested) Caste certificate (if claiming reservation) (self-attested) Identity proof (Aadhar/PAN/Passport/Driving License) (copy) GitHub/Kaggle profile links or portfolio Demo or proof of previous projects/work Publications or certificates of achievements (if any) Only Indian citizens are eligible to apply Soft copy applications must be sent via email All documents must be self-attested Passport-size photo must be pasted on application form Include all relevant portfolio links and work demos Shortlisted candidates will be communicated via email Interview is mandatory and must be attended in person Bring original degree certificates and one set of xerox copies Carry date of birth proof and relevant documents No TA/DA will be paid to candidates for attending interview Purely temporary position co-terminus with project (1 year) Extension possible subject to project extension and satisfactory performance Fellowship does NOT imply any employment guarantee by sponsor or IIT(ISM) Selected candidate must join within 2 weeks from date of result communication Failure to join within stipulated period may result in cancellation of offer This is a project-based temporary position, not a regular job Fellowship is based on satisfactory performance review Age limit is as on the date of interview Minimum 70% academic performance is mandatory Programming and ML proficiency is essential, not desirable Original documents mandatory at time of interview Selection is purely merit-based No TA/DA reimbursement for interview Decision of selection committee is final and binding Institute reserves right to cancel or modify recruitment Official Notification PDF: Click here Official Website: Click here Join Arattai 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Research Assistant

Essential Qualifications

• Educational Qualification: B.Tech degree in any Engineering discipline from recognized institution
  • Mining Engineering
  • Computer Science & Engineering
  • Data Science
  • AI/ML Engineering
  • Environmental Engineering
  • Earth Sciences
  • Or related engineering discipline
• Technical Skills: Highly proficient in:
  • Programming languages (Python, C++, etc.)
  • Machine Learning algorithms and applications
  • Data analysis and visualization
• Academic Performance: Minimum 70% marks or equivalent CGPA throughout academics

Desirable Qualifications

• Graduates in Engineering and Sciences with demonstrated work in:
  • GitHub repositories
  • Kaggle competitions/projects
  • Any other relevant portfolio
• Demo/proof of previous work or projects
• Publications in relevant areas
• Prior research/internship experience in AI/ML
• Experience with data collection and field work

1. Application Screening: Verification of eligibility and documents
2. Merit-Based Shortlisting: Candidates selected based on:
   • Academic performance (70% cutoff)
   • Technical skills and programming proficiency
   • Quality of previous work/projects
   • Relevance to project requirements
3. Interview: Personal interview with selected candidates
   • Date and time communicated via email
   • In-person appearance mandatory
   • Bring all original documents and one set of xerox copies
4. Final Selection: Based on interview performance and merit