A postdoctoral position is available at the University of California at Irvine (UCI), the California Institute for Telecommunications and Information Technology (Calit2).
This position will be exploring machine learning solutions (AI) in cyber-physical-human-environment system (CPHES) for supporting research areas such as predicative manufacturing automation and control for improving operation efficiency and energy productivities, building energy management, industrial IoTs, communication and networking for ingesting data.
Requirements - Applications are being sought from degreed candidates in physics, mechanical engineering, electrical engineering, computer science/engineering or materials science/engineering. Completion of PhD degree in related area and/or equivalent experience preferred. The successful applicant will work with PI directly in researching and developing solutions. It is expected that an applicant possesses outstanding communication skills and is able to clearly communicate technical plans and results. The applicant will be responsible for researching and developing solutions for CPHES. Knowledge of or ability to learn machine learning engineering is necessary. Ability to be versatile, efficient and productive with minimal supervision or guidance is desired.
https://recruit.ap.uci.edu/JPF08612
Applications Materials
a) Research Statement
b) Curriculum Vitae
c) Publication Record
d) Proof of Doctoral Degree
e) 2 names for reference
The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.
A postdoctoral position is available at the University of California at Irvine (UCI), the California Institute for Telecommunications and Information Technology (Calit2).
This position will be exploring energy engineering solutions for supporting research areas such as flexible plug loads with local energy storage, energy efficiency in plug loads, building energy management, industrial IoTs, AIs, communication and networking for harmonizing loads.
Requirements - Applications are being sought from degreed candidates in physics, mechanical engineering, electrical engineering, computer science/engineering or materials science/engineering. Completion of PhD degree in related area is required. The successful applicant will become part of a team collaborating with other technical staff in CalPlug center. It is expected that an applicant possesses outstanding communication skills and is able to clearly communicate technical plans and results. The applicant will be responsible for researching and developing energy engineering solutions. Knowledge of or ability to learn energy engineering is necessary. Ability to be versatile, efficient and productive with minimal supervision or guidance is desired.
This position is funded by the institute. Initial appointment is for two years and renewal is based on performance. The responsibilities include assisting Calit2 director in developing technical strategies, implementation, and applications in CalPlug (a center within Calit2 with a focus on energy efficiency in manufacturing process and building plug loads), working on CalPlug projects for prototypes, presentations and publications, and collaborating with Calit2 staff in coordinating technical contents for center demos, and workshops.
https://recruit.ap.uci.edu/JPF08281
Applications Materials
a) Research Statement
b) Curriculum Vitae
c) Publication Record
d) Proof of Doctoral Degree
e) 2 names for reference
The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.
