Applications are invited for one Project Assistant (PA) under DST-INSPIRE Research Funding (GOI-E-209) at the Department of SCMS, SP Pune University. Appointments will be made as per availability of suitable candidates for the respective post. Please note that these posts are purely on temporary basis and for the stipulated project period.

• Eligibility & Necessary Qualification: M.Sc (Physics/Materials Science) with strong foundation in solid state physics, condensed matter physics and good programming skills (Python/Fortran/C++). Familiarity with linux operating system (any flavors) is required. Working experience in the field of computational materials science and/or machine learning would be an advantage.
• Work description : The project is based on the application of Machine Learning (ML) in the field of materials science (MS). ML algorithms would be aplied on the material-property datasets either generated from ab initio electronic structure calculations or extracted from freely available MS databases. Data generation/extraction, cleaning and structuring will be essential parts of the project that require good domain knowledge and coding skills.
• About the group : Our group at SCMS, SPPU has an expertise in ab initio studies of thermal transport in materials within the framework of Density Functional Theory and Boltzmann Transport Equation. Our studies are mainly applicable to the thermoelectrics technology, which is based on the principle of interconversion of heat and electricity. Thermal transport is also relevant to other technologies, such as nanoelectronics, photovoltaics etc, to address the issue of thermal management.

Emoluments

• Rs 25000/- per month consolidated

• Initially up to 30/06/2022, likely to be continued for next one and half years depending upon the performance and/or continuation of the project.

How to Apply

Plain-paper application, including Cover letter, Resume/CV (with names of two references) and Statement of Purpose (Max 1 Page) should reach via email to office@scms.unipune.ac.in and ankita.katre@scms.unipune.ac.in within 10 days from the date of publication of this advertisement (Write “Application for PA-ISNAK post: ” only as email subject). Resume should include, in the least, full name and contact information (address, email, phone number), date of birth, educational qualification, reservation category information, relevant experience and names & contact details of two referees.

Selection

Candidates found suitable in preliminary screening will be notified via email. No separate interview call letter will be sent. Selection is based on the performance of the candidate in the interview. The selected candidates are expected to join within one week of the date of the offer.