PhD Position

4 weeks ago

Delhi, Delhi, India School of Planning and Architecture, New Delhi Full time
Company Description
The School of Planning and Architecture, New Delhi, was established in 1941 as a Department of Architecture of Delhi Polytechnic, later integrated with the School of Town and Country Planning. In 1979, it was conferred the status of "Deemed to be a University" by the Government of India. The School offers academic and extension programs, promotes research and consultancy activities, and is recognised as a Center for Excellence in Urban Planning by the Government of India.
Role Description
This is a full-time on-site role for a PhD Scholar at the School of Planning and Architecture, New Delhi. The PhD Scholar will be responsible for conducting research, literature reviews, data analysis, and documentation. Additionally, the PhD Scholar will collaborate with faculty members, assist in teaching and mentoring undergraduate and postgraduate students, and contribute to publication and conference presentations.
Qualifications
Strong research and analytical skills
Excellent written and verbal communication skills
Ability to work independently and collaboratively
Research experience in any of these areas of expertise: a) Large Language Models (LLM), b) Natural Language Processing, c) Location intelligence, d) Google Data Science Agent, e) Machine Learning, f) GeoAI, g) Image Processing, h) Explainable AI, i) Nureal Networks/Deep Learning or related fields
Proficiency in software Python, C, C++, KNIME, Anaconda, Keras, Geo-pandas, MatLab, etc.
Prior experience in research projects or publications
Master's degree in Computer Science, Electronics, Artificial Intelligence, Geo-informatics, Data Analytics, Urban Planning, Architecture, or related field
Area of Research
Artificial Intelligence
Geo-Spatial Data Science
Use of Machine Learning in Urban Planning
Use of LLMs in Urban Planning
GIS and Deep Learning Models
Other AI based applications in Urban Planning
Stipend
Rs. 45,000 /- per month.
Note: This is full time position. Candidates will not be accepted for part-time position. Students having knowledge and experience in the above research areas shall only apply.

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