Research Project Opening: Machine Learning/ Deep Learning/ NLP
Smart Energy Learning Centre
(A New Research Centre at Dhirubhai Ambani University (Formerly DAIICT) funded by BSES Delhi, India)
Reference Number: CSR-25/BSES/A6-PA/SELC
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 University (Formerly DAIICT), Gandhinagar, Gujarat, India. The project details, requisite qualifications, and experience are as follows.
Project Title: Enhancing Wind Power Decision-Making with Forecasting and Uncertainty Quantification.
| Position and Fellowship |
Research Fellow – 1 post
INR 45,000 per month (all inclusive)
Research Intern – 2 post
INR 15,000 per month (all inclusive)
|
| Eligibility Requirements (Research Fellow) |
| 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 for forecasting tasks.
- 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.
|
| Period of Appointment |
This position is temporary, with an initial appointment for one year extendable upon satisfactory performance. This does not confer any right for the candidate to claim an extension or absorption at DAU. However, according to the available guidelines, the selected candidate will be encouraged to apply for the Ph.D. program at DAU. |
| Job Description |
Project Focus:
- Collect the wind data from deployed wind sensors.
- Develop advanced analytical tools using machine learning and deep learning for obtaining the effective short-term forecast.
- Quantify the uncertainties in the overall wind power generation process for effective decision making.
Role and Responsibilities:
- Develop an efficient system for collecting the wind data using sensors and study their statistical characteristics.
- Conduct research and develop forecasting models for quantifying the uncertainties in the overall wind generation process for enhancing the quality of decisions.
- Develop end-to-end machine learning solution for effective decision making, deployable on the wind site on the microcontroller.
- Produce high-quality journal and conference publications.
- Perform other duties related to the project as assigned.
Location:
- Based at the Smart Energy Learning Centre, DAU, Gandhinagar, India.
Professional Development:
- Supported in professional development with access to career-focused training opportunities.
|
| Eligibility Requirements (Research Intern) |
| Desirable Qualifications |
B.E./B.Tech. in Computer Science & Engineering, ICT, Data Science, AI, ML, or equivalent, with at least 60% marks. (Candidate studying in the last year of the Engineering degree shall also be considered)
- M.Sc. in Data Science, AI, or ML, with at least 60% marks. (Candidate pursing the M.Sc. degree shall also be considered).
- Good understanding of AI/ML models for forecasting tasks.
- 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 |
| Period of Appointment |
This position is temporary for about 6 months and extendable upon satisfactory performance. This does not confer any right for the candidate to claim an extension or absorption at DAU, Gandhinagar. |
How to Apply:
Interested candidates must send their detailed Curriculum Vitae with a Cover Letter by November 30, 2025, through an email to selc[at]dau[dot]ac[dot]in
Please write “(Ref No. CSR-25/BSES/A6-PA/SELC) Application for Research Fellow/ Research Intern position for Renewable Energy Data Ecosystem at SELC” in 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. Candidate may appear for the interview online also..
Expected start date: Immediately after offering.
For informal queries, please contact: Dr. Pritam Anand at pritam_anand[at]dau[dot]ac[dot]in.
