Research Intern Sustainable Mobility

• Carry out data cleaning and analysis of the real-time bus GPS data collected from open transit data portal.
• Analyse different bus performance metrics to assess the performance of bus servies in Delhi.
• Supplement the bus GPS data with socio-economic and smartphone GPS data to generate meaningful insights.
• Participate in creating and labelling training data for ML and AI models for computer vision application.
• Explore given and additional datasets to build a coherent understanding of mobility patterns and behaviour associated with public transit services, people movement, last-mile connectivity, road-safety, parking, air pollution, congestion, and EV charging.
• Assist the team in generating snackable insights and compelling data visuals for the organisation’s social media platforms.
• Involve in extensive data collection, and interact with professionals from the sector.
• Carry out relevant literature review and summarize findings as reports.
• Assist administrative team for organization of relevant events (whenever needed).
• Be willing to quickly learn new analytical tools and techniques and familiarise themselves with broader sectoral (transport) knowledge as required.

Education:-

• Bachelor’s or Master’s degree with specialisation in data science, energy, public policy, operations research.
• Candidates with prior research experience of handling big data are desirable.
• Interest in the transport and energy sector in India.

Key Skills:-

• Experience carrying out data analysis on programmes such as Python, R are a pre-requisite.
• Must have strong research skills – capability to carry out literature review is a key requisite, familiarity with research methods is desirable.
• Willingness to conduct frequent field visits/meetings with stakeholder.
• Willingness to work on multi-disciplinary projects.
• Good written and oral communication skills.
• Experience in data collection preferred.
• Experience in dealing with stakeholders (industry, academic, government etc.) preferred.