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Advertisement for the Research Fellow position for Forecasting with Deep Learning models at SELC

Research Fellow: Forecasting with Deep Learning models

Smart Energy Learning Centre

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

Ref. No. SELC/24/02

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 : Enhancing Wind Power Decision-Making with Forecasting and Uncertainty Quantification.

Position and Fellowship Research Fellow – 1 post
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 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.
  • Prior experience in the data collections using sensors and FPGA.
  • Prior exposure to wind energy related problems.
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:

  • 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, 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 September 20, 2024, through an email to Mr. Varun Joshi at selc[at]daiict[dot]ac[dot]in

Please write  ““(Ref No. SELC/24/02) Application for Research Fellow position for Forecasting with Deep Learning models 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. During the interview, candidates' knowledge will be assessed in the areas of Computer Science, Machine Learning, Deep Learning and Python programming..

Last date of application: 20th September 2024

For informal queries, please contact: Dr. Pritam Anand at pritam_anand[at]daiict[dot]ac[dot]in

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