JRF Advertisement 1
Category
Details
Project Title
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
