Applications are invited for ONE position of PhD Scholar on project,“Feature Engineering for Condition Monitoring of Machines Using Vibration Signature Analysis using Machine Learning” under the supervision of Prof. Pravin Singru and Prof.
Ramprasad Joshi. Deserving candidates check the eligibility criteria and qualification process of the PhD program of BITS Pilani (http://www.bitsadmission.com/phmain.aspx).
Scope of work | Essential Qualification | Desirable Qualification |
Development, deployment and performance measurement of solutions in Vibration Signature Analysis for Condition Monitoring and Predictive and Preventive Maintenance: Experimental Set-up, Deployment of machine learning for Vibration Analysis | B.E. (Mechanical Engg) and M.E. / M.Tech in Mechanical Engineering (Design Engineering or any allied specialization )/ M.Tech (Data Science) | Diploma/Certificate/ Specialization in Data Science, Vibration Analysis |
Fellowship: ₹37,000 - ₹42,000 per month (based on the year of PhD and performance)
Duration: As per BITS Pilani norms (http://www.bitsadmission.com/phmain.aspx)
Place of work: BITS Pilani, K.K.Birla Goa Campus, Goa
Application process: Please apply with CV and Cover letter (showing alignment and justification with the roles/responsibilities/requirements) using this form
Preliminary shortlisting will be based on resume and telephonic/audio-visual interview within a week of last date of application. For final interview, the candidate will be informed through e-mail for interview. No TA/DA will be provided in case of personal interview. For more details, please contact:
Prof. Pravin Singru Mechanical Engineering Department BITS Pilani, K.K.Birla Goa Campus, Goa
Email: pmsingru@goa.bits-pilani.ac.in rsj[at]goa.bits[hyphen]pilani.ac.in
Website: https://www.bits-pilani.ac.in/goa/pravin-madanrao-singru/ https://www.bits-pilani.ac.in/goa/ramprasad-savlaram-joshi
