Role Overview This role is ideal for young professionals who are passionate about using data-driven methods to improve building energy efficiency and develop innovative cooling technologies The position offers an chance to engage in impactful research that addresses energy efficiency challenges in modern buildings utilizing advanced data analysis tools machine learning techniques and state-of-the-art testing facilities to gain practical insights and drive technological advancements Roles and Responsibilities Analyze building energy data sensor inputs and system performance records using advanced data analytics machine learning and statistical tools to identify inefficiencies and optimize cooling solutions Develop and implement data-driven models to predict system behaviour optimize cooling performance and enhance thermal comfort in modern buildings Collaborate with technicians and engineers to collect and interpret data from laboratory and real-world settings producing detailed reports on system performance anomalies and potential improvements Assist in the design and testing of smart control algorithms and digital solutions for building management systems ensuring energy-efficient operation of cooling technologies Utilize computer applications programming languages and data visualization tools to effectively communicate insights Familiarity with refrigeration and building management systems is a plus Qualifications Candidates must hold a Bachelor s or a Master s degree in computer science software engineering data science electronics or a similar related field Experience 2 or more years No of positions 2 Direct reports Principal Researcher and Center Head Center for Advanced Research in Building Science and Energy CARBSE Location Ahmedabad Remuneration Commensurate with the profile of the candidate List of Documents to be attached Detailed Resume A letter of intent carbse cept ac in

📌 Research Associate (data Science) (Gujarat)
🏢 CEPT Research and Development Foundation
📍 Gujarat