Geo-Spatial Intelligence and Demographic Analytics for Predictive Waste Hotspot Detection and Smart Bin Deployment with Integrated Public Reporting Interface
Sponsor
MU-VT (Virginia Tech) Interdisciplinary Advanced Research Center for Transformative Technologies (IARCT2)
Name of PI and Department
Dr. Sandeepan Roy, Ph.D.; Assistant Professor; Department of Civil Engineering
Position and number
Junior Research Fellow (JRF); 1 (One)
Project Duration
3 years or till the project lasts (appointment of JRF is for 1 year initially, renewable every 6 months based on performance)
Essential Qualifications
- M.Tech./M.E. in Geoinformatics, Remote Sensing, Civil/Environmental Engineering, Urban Planning, or related fields
- OR M.Sc./M.Plan. in Geography, Urban Studies, Environmental Science with geospatial/data science background
- OR B.Tech/B.E. in Civil Engineering/Geoinformatics with strong academic record
- GATE/NET qualification (mandatory)
Desirable Qualifications & Skills
- Proficiency in GIS and spatial analytics (QGIS/ArcGIS, Google Earth Engine)
- Experience with census/demographic data analysis, urban infrastructure planning
- Familiarity with machine learning or predictive modeling using Python/R - Exposure to web-mapping tools and public dashboard design
- Prior work in solid waste or sanitation-related projects preferred
- Strong interest in interdisciplinary and community-centered research
Job Responsibilities
- Conduct spatial data collection and analysis of waste generation/demographic indicators
- Design and evaluate smart bin deployment strategy based on predictive analytics
- Collaborate on development of a public reporting interface for municipal users
- Assist in scientific writing, reporting, and conference presentations
- Fieldwork and urban stakeholder interviews as needed
- Option for PhD enrollment upon eligibility and performance
Emoluments
Year 1 & 2: ₹37,000/month + HRA (as per norms, if hostel not provided) Year 3: ₹42,000/month
Additional Notes
Candidates with a strong spatial, environmental, or smart city planning background are encouraged to apply.
JRF Advertisement 2:
Category
Details
Project Title
Optimization of Waste Collection and Transfer Logistics using IoT-Enabled Smart Infrastructure, Real-Time Routing, and Interactive Monitoring Dashboard
Sponsor
MU-VT (Virginia Tech) Interdisciplinary Advanced Research Center for Transformative Technologies (IARCT2)
Name of PI and Department
Dr. Sandeepan Roy, Ph.D.; Assistant Professor; Department of Civil Engineering
Position and number
Junior Research Fellow (JRF); 1 (One)
Project Duration
3 years or till the project lasts (appointment of JRF is for 1 year initially, renewable every 6 months based on performance)
Essential Qualifications
- M.Tech./M.E. in Transportation Engineering, Civil Engineering, Operations Research, Smart Infrastructure or related fields
- OR M.Sc./M.Plan. in Logistics, Urban Informatics, Smart Systems with quant/modeling skills
- OR B.Tech/B.E. in Civil/Mechanical/Computer Science with strong programming background
- GATE/NET qualification (mandatory)
Desirable Qualifications & Skills
- Knowledge of routing algorithms, logistics optimization, or vehicle scheduling
- Programming in Python, R, or MATLAB for optimization problems
- Exposure to IoT-enabled data handling or smart city technologies - Familiarity with real-time dashboards (e.g., Power BI, Tableau, or custom web apps)
- Experience with transportation simulation or waste management systems preferred
Job Responsibilities
- Collect and process waste collection data from smart bin networks and municipal bodies
- Develop and test real-time route optimization algorithms
- Assist in dashboard interface development and monitoring setup
- Support in field validation, stakeholder interaction, and performance evaluation
- Assist in scientific writing, reporting, and conference presentations
- Option for PhD enrollment upon eligibility and performance
Emoluments
Year 1 & 2: ₹37,000/month + HRA (as per norms, if hostel not provided) Year 3: ₹42,000/month
Additional Notes
Applicants with strong interests in urban logistics, smart systems, and real-time optimization are preferred.
interested candidate please share your resume with the mentioned mail id below "
Subject line as project title
"
Mail id : sandeepan.roy@mahindrauniversity.edu.in
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