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- Residential and commercial prototype building models development using EnergyPlus
- Energy impacts analysis of building energy code compliance
- Implementation and compliance support of building performance standards
- Building energy system design for resilience
- Grid-interactive efficient building design and controls
- Urban-scale building modeling for building-to-grid research
- Development of EnergyPlus and OpenStudio and their associated tools
- Integrate Generative AI and machine learning in building design and energy modeling
- Collaborate on AI-Driven Research Initiatives Qualifications
- Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.
- PhD degree in Architectural Engineering, Mechanical Engineering, Building Sciences, or related fields.
- Advanced experience with whole building energy modeling for buildings with complex energy systems and controls.
- Experience with EnergyPlus is highly desirable; other modeling software experience may be considered (e.g. OpenStudio, eQuest).
- Solid background knowledge in building physics and building energy systems.
- Strong programming skills in Python, Ruby, R, or Perl.
- Independent design or research experience in one or more building energy systems (e.g. building envelope, HVAC, lighting, controls, and service hot water).
- Familiarity with advanced machine learning techniques and their applications in Natural Language Processing (NLP), image recognition, and predictive modeling.
- Skilled in applying Generative AI models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer-based architectures.
- Experience in working with Git repository.
- Development and implementation of containerized work-flow for institutional high-performance computing or cloud computing.
- Experience in leading the publications of technical reports and research papers.
- Excellent verbal and written communication skills.
- Strong research and writing skills to develop research ideas and support documentation of research deliverables.
- A collaborative approach to problem-solving in areas that do not have clear or established solutions or outcomes and the ability to work well with inter-disciplinary and geographically distributed teams. Hazardous Working Conditions/Environment
Post Doc Research Associate - Portland, United States - Pacific Northwest National Laboratory
Description
Responsibilities
The Post Doc Research Associate will contribute to a number of high-impact applied research and analysis activities, such as:
Minimum Qualifications:
Preferred Qualifications:
Not Applicable
Additional InformationAnticipating this position will be up to one year duration, at which point the candidate will be reviewed for potential conversation to a full-time employee.