displayNone
banner

Research Fellow Openings at SELC, DA-IICT

Research Fellow: Machine Learning/ Deep Learning/ NLP

Smart Energy Learning Centre

(A New Research Centre at DA-IICT funded by BSES Delhi, India)

Ref. No. SELC/24/01

Applications are invited from highly motivated candidates with good academic records for a full-time, fixed-term Research Fellow position with the Smart Energy Learning Centre (SELC) at the Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), India. The project details, requisite qualifications, and experience are as follows.

Project Title : Developing Renewable Energy Data Ecosystem for Informed Decision-Making

Position and Fellowship Research Fellow2 posts
INR 45,000 per month (all inclusive)
Eligibility Requirements
Essential Qualifications
  • M.E./M.Tech. in Computer Science & Engineering, ICT, Data Science, AI, ML, or equivalent, with at least 60% marks. Preference may be given to GATE-qualified candidates or those with research/industry experience.
  • OR, B.E./B.Tech. in Computer Science & Engineering, ICT, Data Science, AI, ML, or equivalent, with at least 60% marks. Preference may be given to GATE-qualified candidates or those with research/industry experience.
  • OR, M.Sc. in Data Science, AI, or ML, with at least 60% marks. Preference may be given to candidates qualified through CSIR-UGC NET or IIT JAM, and those with industrial/ research experience.
  • Deep understanding of AI/ML models
  • Experience in End-to-End Machine Learning Project Development
  • Good Python programming skills: Scikit-learn, NumPy, Pandas, MLX, and at least one of the deep learning libraries: PyTorch, Keras, or TensorFlow
  • Strong command of oral and written English
Desirable Qualifications
  • Strong mathematical and statistical background in machine learning
  • Deep understanding of neural NLP techniques
  • Experience in tuning open-source LLMs, using LangChain, Neo4j, etc.
Period of Appointment This position is temporary, with an initial appointment for one year, and it is extendable for up to two more years based on satisfactory performance. This does not confer any right for the candidate to claim an extension or absorption at DA-IICT. However, according to the available guidelines, the selected candidate will be encouraged to apply for the Ph.D. program at DA-IICT.
Job Description:

Project Focus:

  • Identify existing data resources, generate new data, and assess data quality.
  • Develop advanced analytical tools using machine learning and data analytics.
  • Make data accessible for research and share actionable insights with policymakers.

Role and Responsibilities:

  • Develop predictive and prescriptive analytics solutions in the renewable energy domain.
  • Conduct research and develop foundation models in NLP.
  • Involve in end-to-end machine learning project development, including data collection, building predictive models, and deploying them as APIs.
  • Produce high-quality journal and conference publications.
  • Perform other duties related to the project as assigned.

Location:

  • Based at the Smart Energy Learning Centre, DA-IICT, Gandhinagar, India.

Professional Development:

  • Supported in professional development with access to career-focused training opportunities.

How to Apply:
Interested candidates must send their detailed Curriculum Vitae with a Cover Letter by August 16, 2024, through an email to Mr. Varun Joshi at selc[at]daiict[dot]ac[dot]in

Please write  “Application for Research Fellow position for Renewable Energy Data Ecosystem at SELCin the subject line of the email.

Only shortlisted candidates will be called for an interview, which they will attend at their own expense; no TA/DA will be provided. During the interview, candidates' knowledge will be assessed in the areas of Computer Science, Machine Learning, Deep Learning, Natural Language Processing, and Python programming.

Tentative date of Interview: Week starting from August 19, 2024 (Hybrid/ Online)

Expected start date: August 26, 2024 or After

For informal queries, please contact Dr. Arpit Rana at arpit_rana[at]daiict[dot]ac[dot]in and cc, Dr. Bhaskar Chaudhury, at bhaskar_chaudhury[at]daiict[dot]ac[dot]in.

Back to Top