Position Overview:
Location | Ahmedabad |
Term | Data Scientist |
Position | One |
Start | Immediate |
Compensation | As per experience and qualifications |
Reports to | Principal Researcher & Centre Head, Centre for Advanced Research in Building Science and Energy (CARBSE) |
About CEPT University and The CEPT Research and Development Foundation (CRDF):
CEPT University, established in 1962, is focused on understanding, designing, planning, constructing, and managing human habitats. Its teaching programs are designed to build thoughtful professionals, and its research programs aim to deepen the understanding of human habitat. The CEPT Research and Development Foundation (CRDF) is a multidisciplinary think-do-tank promoted by CEPT University. After over four decades of consultancy, research, and advisory work, the university established CRDF in 2013 under Section 8 of the Companies Act 2013 (non-profit company) to undertake and manage the increasing volumes of research work in the domain.
About the Centre for Advanced Research in Building Science and Energy (CARBSE):
The Centre for Advanced Research in Building Science and Energy (CARBSE) aims to advance research and development in energy and habitat initiatives. We leverage building science principles to address current and future challenges faced by our communities and cities. Our multidisciplinary efforts focus on providing scientifically validated insights for policymaking, supporting and developing design and technology, and facilitating knowledge exchange to enhance human capacity.
About the Data Scientist Position:
CARBSE is seeking applications for a full-time Data Scientist with a strong interest in building science, energy systems, data analytics and machine learning. This position offers an opportunity to contribute to impactful research through large-scale data processing, predictive modelling and statistical analysis that support research, policy and technology development initiatives. The selected candidate will work alongside multidisciplinary research teams while utilizing CARBSE's state-of-the-art laboratories, computational resources and research infrastructure.
Minimum Eligibility Criteria for the given position:
Centre | Educational Qualification | Experience required | Roles and Responsibilities |
CARBSE | To be eligible to apply, candidates must hold a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Information Technology or a related field. | Candidates holding a Bachelor's degree should have at least 3 years of relevant experience. | · Process, manage and analyse large streams of time-series data generated from field sensors, environmental monitoring systems, HVAC, lighting systems and other building performance and urban climate monitoring infrastructure. · Develop predictive models to optimize energy consumption, forecast peak demand loads and support data-driven decision-making for building performance and environmental research. · Develop and implement anomaly detection algorithms to identify equipment faults, system inefficiencies and operational anomalies before failures occur. · Undertake independent scientific data analysis and scientific writing to support technical reports, research publications, analytical outputs and project deliverables in collaboration with multidisciplinary research teams. · Proficiency in Python or R for advanced statistical analysis and machine learning is essential. Knowledge of SQL and time-series databases such as InfluxDB and TimescaleDB is required. Experience with Spark, Hadoop or cloud-based data platforms will be an added advantage. |
How to apply:
Please submit your complete resume and a letter of intent via email to carbse@cept.ac.in before 17/08/2026. Applications received by 17/08/2026 will receive priority consideration, but the review process will continue until the position is filled.