Post Doctoral Research Assoc
Post Doctoral Research Assoc
In an effort to develop an ecosystem in which Distributed Energy Resources (DERs), buildings, and larger base load generators can coordinate to facilitate a transition to lower carbon emissions, The University of Toledo (UToledo) has collaborated with several of the DOE National Labs, including PNNL, INL, and LLNL, to implement Transactive Energy Control, which allows various DER assets to participate in a market-based energy exchange. This transactive network consists of actors that negotiate autonomously with neighbors in a distributed market. Among the various participating assets on UToledo's campus are a 1 MW solar array, battery storage, campus-buildings, EV charging stations, etc. This ecosystem has enabled various demonstrations of future SMART grid technologies and infrastructures, such as mitigation of PV output power variability and reducing building energy consumption without harming occupants' comfort.As part of DOE’s 2019 Grid Modernization Lab call, UToledo is now collaborating with Idaho National Laboratory (INL) on the applications of AI/ML strategies to the grid in the recently awarded project titled, "Deep Reinforcement Learning (DRL) and Decision Analytics for Integrated Energy Systems." As part of this project, a DRL computational framework is expected to be built on existing simulation capabilities developed at INL to assess and mitigate cyber risks associated with the implemented transactive network. The project is expected to leverage open-source AI development tools (e.g. PyTorch, TensorFlow, Ray, etc.) and provide essential modeling capabilities and interfaces for the DRL-based control algorithm development, which is intended to control the operation of the complex system of systems. The Electrical Engineering & Computer Science Department at The University of Toledo is seeking highly qualified candidates for a Post-doctoral Research Associate position to facilitate collaboration with Idaho National Laboratory (INL). The qualified candidate will develop new Deep Reinforcement Learning (DRL)-based analytics to detect sophisticated, previously unknown threats to the system and deploy appropriate response actions. The qualified candidate will supervise graduate students and help write peer-reviewed high-impact publications. This position will also participate in meetings and provide technical updates on a regular basis to the sponsor and supervising UToledo faculty. A complete application packet must include: (1) cover letter; (2) detailed curriculum vitae; and (3) emails and phone numbers of at least three professional references. Review of applications will begin in late November/early December. Candidates are encouraged to apply before December 10, 2020Qualifications:
- Ph.D. in electrical engineering/computer science or related areas, with research in machine learning, AI, and/or control systemsExperience with open source AI/ML and control system integration toolsBasic understanding or interest in the application of AI/ML to future SMART grid infrastructures
- Proficient in verbal and written English, as indicated by good publication record and interviewProject management skillsCapability to work as part of a team while taking initiatives and managing graduate students
The above list of duties is intended to describe the general nature and level of work performed by people assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the people so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct and control the work of employees under his/her supervision.The University of Toledo is an equal opportunity, affirmative action employer. The University of Toledo does not discriminate in employment, educational programs, or activities on the basis of race, color, religion, sex, age, ancestry, national origin, sexual orientation, gender identity and expression, military or veteran status, disability, familial status, or political affiliation. The University of Toledo provides reasonable accommodation to individuals with disabilities. If you require accommodation to complete this application, or for testing or interviewing, please contact the Human Resources Department at 419-530-4747 between the hours of 8:30AM and 5:00PM or apply online for an accommodation request.Computer access is available at most public libraries and at the Office of Human Resources located in the Center for Administrative Support on the Main Campus of the University of Toledo, or at the satellite HR Office located at the Facilities Services Building, Suite 1000 on the Health Science Campus.