POST DOCTORATE FELLOW: THERMAL ENERGY MAPPING FOR

Post-Doctoral Fellow - Thermal Energy Mapping for Decarbonization of Heating

Initial 1 year contract with possible extension for another year, immediate start date

Description

Design and conduct research while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a research career. Develops and evaluates numerical models. Designs and evaluates experiments. Develops new ideas that promote current research. Prepares and publishes scientific manuscripts under the direction of the Principal Investigator. May be responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. The initial appointment is for one year, renewal expected if progress is satisfactory, and funds are available.
 

Minimum Qualifications

A doctoral degree (Ph.D.) in an appropriate field (e.g., engineering, computer science, physics, mathematics, etc.). Experience related to the following: Thermofluids, Energy Systems, HVAC Load Prediction, Building Energy Modeling, GIS, Database analysis, Machine learning and AI applied to Energy Systems, or other Data Analytics Studies. Previous experience in programming languages (e.g. C++,  Java, C#, Matlab, Python). Familiarity with data analytics such as data base development and population, load disaggregation techniques, data visualisation techniques, data analysis techniques, machine learning forecasting techniques. Energy measurement system design and data acquisition experience would be an asset. Excellent scientific writing ability and strong oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator.

Additional Details

The McMaster Institute for Energy Studies seeks a postdoctoral fellow with world-class expertise in the area of Thermal Energy Mapping for Decarbonization of Heating. The goal is to help cities and communities identify local climate action opportunities to decarbonize heating with existing local energy resources in support of the UN Sustainable Development Goals. The applicant will join a multi-disciplinary research team that uses data analytics and visualization techniques to identify community thermal energy sources relative to community heating loads. A systems-level approach to integrate thermal generation, storage, distribution and consumption at the community level will then be developed to significantly reduces greenhouse gas (GHG) emissions.