The Computational Fluid Dynamics (CFD) Research Group at the School of Mechanical Engineering, Vellore Institute of Technology (VIT), Chennai, is seeking applications for a PhD research position focused on investigating the thermal performance of nanofluids using machine learning modeling techniques. The research aims to enhance heat transfer efficiency through the exploration of multiphase turbulent modeling, nanoparticle shape effects, and innovative approaches in nanofluid heat transfer. The project will involve conducting CFD simulations to analyze fluid flow, convective heat transfer, and nanoparticle dispersion. Additionally, machine learning techniques will be utilized to optimize performance across varying operating conditions. The successful candidate will be involved in developing high-fidelity CFD models integrated with data-driven machine learning frameworks to predict and improve heat transfer characteristics for applications in thermal management, energy systems, and cooling technologies. Eligibility and Fellowship Details: This research position is supported by the institute's research fellowship program and is open to candidates holding either Masters or Bachelors degrees. Candidates with the following educational backgrounds are eligible to apply: - Masters degree (M.Tech/M.E/M.Sc) in Mechanical Engineering, Thermal Engineering, or a related field such as Applied Mathematics. - Bachelors degree (B.Tech/B.E) in Mechanical, Aeronautical, or Automobile Engineering. Fellowship details and research support options are as follows: - For Masters degree holders: A fellowship of 31,000 per month for the first year, increasing to 35,000 per month for the second and third years (total duration: three years). - For Bachelors degree holders: A fellowship of 21,000 per month for the first two years, increasing to 30,000 per month for the third and fourth years (total duration: four years). Additionally, the institute offers a Raman Research Award of up to 1 lakh for outstanding research publications and provides funding support for conference presentations and journal publications. Preferred Skills: - Proficiency with CFD tools such as ANSYS Fluent and OpenFOAM. - Strong programming skills in MATLAB, C, and Python. - Excellent verbal and written communication abilities. Start Date: June 2025 Application Process: Interested candidates are required to submit a comprehensive CV along with contact details for at least two academic or professional references to harish.r@vit.ac.in before March 28, 2025. For more information, please contact the provided email address.,
Company Description Vellore Institute of Technology - Chennai Campus is a distinguished institution located in Vandallur-Kellambakkam Road, Chennai, Tamil Nadu, India. Renowned for its academic excellence, it offers a vibrant environment promoting innovation and research. The campus is dedicated to cultivating talent and fostering skill development across various disciplines. It is a hub for learning and growth, committed to shaping future leaders and professionals. Nature & Scope of Work : Development of theoretical models for beam–wave interaction in Extended Interaction Klystron (EIK) amplifiers. Programming and development of computational codes in MATLAB or Python, including GUI for importing and exporting simulation parameters. Simulation of beam modulation, cavity interaction, gain–bandwidth, output power, and efficiency. Comparison and validation of developed code with commercially available softwares or available reference results. Qualifications Essential Qualification: Four years Bachelor’s Degree in Engineering / Technology (ECE / EEE / E&I / Applied Electronics / Instrumentation / Physics-related Engineering Streams) OR Master’s Degree in Physics / Electronics / Applied Physics / Engineering Physics / related disciplines from a recognized University. Desirable Qualification: GATE / CSIR-UGC NET qualified candidates will be given preference. Selection Procedure : Shortlisted candidates will be called for Interview.(with an optional written test) Written Test Syllabus: o Electromagnetic Theory o Transmission Lines & Waveguides o Microwave & Antenna Theory o Basics of MATLAB / Python Programming How to Apply : Interested candidates should apply at: https://careerscc.vit.ac.in/vitcc-careers/ -> JRF/SRF/Project Associate -> SENSE - JRF/SRF/Process Associate -> Designation: Project Associate 1. Fill the online application form 2. Latest CV 3. Educational & GATE/NET certificates – At the time of interview 4. Proof of previous and current work experience (if any) 5. One-page statement of interest – To be emailed 6. Filled copy of Short Questionnaire – To be emailed Email to: richards.stanislaus@vit.ac.in Subject Line: Application for Project Associate - EIK Computing Code (DRDO CARS) PhD Registration Opportunity (Optional) The selected candidate will have the provision to register for PhD at VIT Chennai through VITREEE in the January / July 2026 admission cycle, subject to fulfilling VIT Chennai PhD eligibility norms and successful performance review during the project period. After the completion of the project fellowship duration, the PhD fellowship will continue as per VIT Chennai PhD scholar norms. Last Date for Application Submission 15-Nov-2025 Tentative Date for Interview 19-Nov-2025 (Confirmed status will be updated through email) Joining: Immediate Duration of the Position: The appointment is purely temporary and contractual. The initial tenure is 12 months, with a possible extension of up to 6 more months based on performance and project requirements.
As a PhD research candidate in the Computational Fluid Dynamics (CFD) Research Group at the School of Mechanical Engineering, Vellore Institute of Technology (VIT), Chennai, you will be involved in investigating the thermal performance of nanofluids by utilizing CFD simulations and Machine Learning (ML) modeling techniques. The primary focus of the research will be on enhancing heat transfer efficiency using nanofluids through multiphase turbulent modeling, exploring nanoparticle shape effects, and implementing novel approaches in nanofluid heat transfer. Your responsibilities will include analyzing fluid flow, convective heat transfer, and nanoparticle dispersion through CFD simulations, while also utilizing ML techniques to optimize performance under varying operating conditions. You will be expected to work on high-fidelity CFD models integrated with data-driven ML frameworks to predict and enhance heat transfer characteristics for applications in thermal management, energy systems, and cooling technologies. Key Responsibilities: - Conduct CFD simulations to analyze fluid flow, convective heat transfer, and nanoparticle dispersion - Utilize ML techniques to optimize heat transfer performance under different operating conditions - Work on high-fidelity CFD models coupled with data-driven ML frameworks - Predict and enhance heat transfer characteristics for various applications in thermal management, energy systems, and cooling technologies Qualifications Required: - Masters degree (M.Tech/M.E/M.Sc) in Mechanical Engineering, Thermal Engineering, or a related field (e.g., Applied Mathematics) - Bachelors degree (B.Tech/B.E) in Mechanical, Aeronautical, or Automobile Engineering - Experience with CFD tools such as ANSYS Fluent and OpenFOAM - Proficiency in MATLAB, C, and Python programming - Strong verbal and written communication skills In addition to the research fellowship provided by the institute, you will have the opportunity to receive the Raman Research Award of up to 1 lakh for high-quality research publications. Furthermore, funding support for conference presentations and journal publications is also available. The start date for this position is June 2025. If you are interested in this opportunity, please submit a detailed CV along with contact information for at least two academic or professional references to harish.r@vit.ac.in before March 28, 2025. For any additional information, feel free to reach out to the provided contact email. As a PhD research candidate in the Computational Fluid Dynamics (CFD) Research Group at the School of Mechanical Engineering, Vellore Institute of Technology (VIT), Chennai, you will be involved in investigating the thermal performance of nanofluids by utilizing CFD simulations and Machine Learning (ML) modeling techniques. The primary focus of the research will be on enhancing heat transfer efficiency using nanofluids through multiphase turbulent modeling, exploring nanoparticle shape effects, and implementing novel approaches in nanofluid heat transfer. Your responsibilities will include analyzing fluid flow, convective heat transfer, and nanoparticle dispersion through CFD simulations, while also utilizing ML techniques to optimize performance under varying operating conditions. You will be expected to work on high-fidelity CFD models integrated with data-driven ML frameworks to predict and enhance heat transfer characteristics for applications in thermal management, energy systems, and cooling technologies. Key Responsibilities: - Conduct CFD simulations to analyze fluid flow, convective heat transfer, and nanoparticle dispersion - Utilize ML techniques to optimize heat transfer performance under different operating conditions - Work on high-fidelity CFD models coupled with data-driven ML frameworks - Predict and enhance heat transfer characteristics for various applications in thermal management, energy systems, and cooling technologies Qualifications Required: - Masters degree (M.Tech/M.E/M.Sc) in Mechanical Engineering, Thermal Engineering, or a related field (e.g., Applied Mathematics) - Bachelors degree (B.Tech/B.E) in Mechanical, Aeronautical, or Automobile Engineering - Experience with CFD tools such as ANSYS Fluent and OpenFOAM - Proficiency in MATLAB, C, and Python programming - Strong verbal and written communication skills In addition to the research fellowship provided by the institute, you will have the opportunity to receive the Raman Research Award of up to 1 lakh for high-quality research publications. Furthermore, funding support for conference presentations and journal publications is also available. The start date for this position is June 2025. If you are interested in this opportunity, please submit a detailed CV along with contact information for at least two academic or professional references to harish.r@vit.ac.in before March 28, 2025. For any additional information, feel free to reach out to the provided contact email.