Postdoctoral Associate-Systems Engineering
About the role
The LIINES is devoted to the sustainable and resilient transformation of intelligent multi-energy engineering systems. The focus of this project includes assessing the socio-technical potential for transactive energy communities.
Responsibilities
- Instrumentation, communication, and actuation system design
- Refining the system
- Socio-technical energy behavior predication phase of the project
Requirements
- A PhD degree in systems/mechanical/electrical engineering or related fields with a strong background in hardware development and practical implementation experience.
- Demonstrated competence in one or more areas in (i) in-depth theoretical knowledge of data-driven algorithm development and control theory, (ii) practical coding capability for implementation of efficient algorithms using various architectures, (iii) interested in performing independent research to apply data-driven algorithms to solve practical problems, (iv) prior publication or project experience in predictive maintenance, (v) hands-on experience implementing algorithms on resource-constrained mechatronic hardware platforms.
- Strong organizational and planning skills to execute research tasks in a coordinated manner;
- Proficient writing and presentation skills to disseminate research results to both experts in the fields and generic public;
- The capacity to work in a diverse team with multiple research groups and mentor junior researchers.
Qualifications
- A PhD degree in systems/mechanical/electrical engineering or related fields with a strong background in hardware development and practical implementation experience.
- Demonstrated competence in one or more areas in (i) in-depth theoretical knowledge of data-driven algorithm development and control theory, (ii) practical coding capability for implementation of efficient algorithms using various architectures, (iii) interested in performing independent research to apply data-driven algorithms to solve practical problems, (iv) prior publication or project experience in predictive maintenance, (v) hands-on experience implementing algorithms on resource-constrained mechatronic hardware platforms.
- Strong organizational and planning skills to execute research tasks in a coordinated manner;
- Proficient writing and presentation skills to disseminate research results to both experts in the fields and generic public;
- The capacity to work in a diverse team with multiple research groups and mentor junior researchers.
Skills
- Machine learning
- Predictive maintenance
- Control algorithms
Benefits
Not specified.
Pay
In compliance with the New Jersey Wage Transparency Act, the annual base range for this position is $65,000 - $75,000. This range represents the University’s good faith estimate of possible compensation at the time of posting. Stevens Institute of Technology determines compensation based on factors including the position’s scope and responsibilities, the candidate’s experience, education, skills, internal equity, market data, and organizational considerations. The final salary will be set considering departmental budget, qualifications, and relevant credentials.
Schedule
Not specified.