Research-Associate Position in IIT Madras, India, Apply by 02 December 2024

November 19, 2024

Designation/Position- Research-Associate Position in IIT Madras

IIT Madras, India invites applications for Research-Associate Position in IIT Madras from eligible and interested candidates.

About- INDEE+ Post-Doctoral Fellowship (I-PDF) is aimed to identify, encourage, and support the young motivated bright researchers for doing research in the frontier area of Refrigeration and Heat Pumping Technologies. The researcher position is fixed for a period of three years (non-extendable). The fellows will work under a mentor from one of the four Indian Institutes (host) and NTNU, Norway (lead institute), and it is trusted that the INDEE+ network will facilitate the fellows with an effective platform to develop as an independent researcher. Moreover, I-PDF facilitates the research positions in host institutes with gender equality.

Research/Job Area- Computer Science and Engineering, Electrical Engineering, Physics, Chemical, Metallurgical and Materials Engineering.

Location- IIT Madras, India

Eligibility/Qualification–

Educational Qualification:

Ph.D

Desirability:

Degree in following fields: Computer Science and Engineering, Electrical Engineering, Physics, Chemical, Metallurgical and Materials Engineering.

Preferred experience: Machine learning, Python programming, Phase transformation in materials

Job/Position Description-

Applications are invited for the temporary post of Research Associate – I, Department of Metallurgical and Materials Engineering, IIT Madras.

Co-ordinator: Rohit Batra, Department of Metallurgical and Materials Eng., IIT Madras.

Duration: Initially for 6 months, later extendable based on the performance.

Number of Vacancies: 01

Post	Pay
Research Associate I	Rs 58,000/- Per month + HRA ( as applicable)

Position Summary

Materials informatics lab at IIT Madras is seeking a highly motivated and talented individual to join our team as Research Associate I. This opportunity is part of a DRDO funded project focused on developing high temperature shape memory alloys. This project is a joint collaborative effort between IIT Madras, IISc and NAL Bengaluru. In this project, we aim to combine machine learning (ML) techniques with first principles density functional theory (DFT) to identify alloy compositions which can show high temperature shape memory effect with low hysteresis. Using existing data on alloys, and additional data generated by our collaborators (IISc), machine learning models will be built to identified alloy compositions and processing parameters that show high temperature shape memory effect. The ML suggestions will be synthesized and characterized in IISc for validation in an active learning format. There will be a need to develop various types of ML models, including graph based (GNNs), CNN based (image processing), and even large language models (LLMs) to learn transformation temperature of alloys, process their microstructure images and extract information from research articles. Further, NAL will work on optimizing the alloy processing conditions for large scale production as per the guidance from the DFT and ML methods.

Responsibilities

Contribute towards works related to teaching/research work assistantship.  Collaborate effectively with multidisciplinary teams
Build various types of ML models (LLMs, U-Net, NNs, etc.) to learn various properties of alloys, such as transformation temperatures, microstructural features from images, etc.
Build an LLM based pipe line to extract alloy data from literature. This will involve using techniques such as prompt engineering, RAG, fine tuning and model evaluation
Work along with the DFT expert to select good alloy composition candidates. DFT can help provide useful features as input to the ML models
Plan and execute the project including report writing
Credit relevant courses (as per the recommendation) in the institute to build the background to start working on the research problems.

How to Apply-

Candidates should apply online only in the website https://icandsr.iitm.ac.in/recruitment/ – (Please check the advertisement number Advt. 183/2024 displayed and submit the application for the relevant position).