Job Description

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 opportunity 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