Assistant Professor - Electrical and Computer Engineering

Tenure track positions in the areas of Embedded Systems and Sustainable and Resilient Electric Energy Systems.

MINIMUM REQUIREMENTS

Applicants must have a Ph.D. in, Computer Engineering, Electrical Engineering, or equivalent degree, or completion of all requirements by date of hire.

Embedded Systems: Special interest will be given to candidates with experience on: Hardware, Internet of Things (IoT), computer networks, computer architecture, integrated circuits (IC), artificial intelligence (AI), robotics, aerospace, cyber-physical systems (CPS), wearable technologies, Model Based Predictive Control (MBPC), among others. Exceptional candidates with background in other areas will also be considered. Candidates for tenure-track positions must provide evidence of outstanding potential in research and teaching. The ideal candidate should have expertise in both component-level and system-level modeling applicable to embedded system design with emphasis on hardware, robotics, and aerospace applications. Additional expertise areas of interest include but are not limited to smart sensor design, hardware development, instrumentation, on-board computing, especially parallel computing, collaboration between multiple embedded systems, fluent in control and data platform software development, analog electronics, experience with troubleshooting and debugging prototype hardware/software, and electronic design (analog and digital), PCB design, and fabrication.

Sustainable and Resilient Electric Energy Systems: Special interest will be given to candidates with experience on the hybrid resilient energy systems, electric drives and motors, and energy storage. The selected candidate must also have a strong background in at least three of the following: hybrid energy systems, electric drives and machines, energy storage systems, design/construction of wind/wave technologies, power quality, control of electric drives and motors, energy harvesting using high-power-density devices, wireless energy transfer, ultra-capacitors and batteries, induction and synchronous motors, and nonlinear control of high-power-density devices for renewable energy and electric vehicle applications. The ideal candidate should have expertise in both component-level and system-level modeling and control applicable to energy systems with emphasis on electric drives and motors, hybrid electric vehicles, and the power grid. The ideal candidate will focus on technologies and approaches that enable increasing deployment of renewable energy sources, electric vehicles, energy storage technologies and the integration of these technologies.

If your native language is not Spanish, you should be able to communicate fluently in English and, by the end of your tenure-track appointment, be able to communicate effectively in Spanish.

JOB DESCRIPTION AND DUTIES

 The person selected is expected to teach at the graduate and undergraduate levels or coordinate undergraduate teaching laboratories, perform research work in his/her area of expertise, publish research work in peer-reviewed conferences and journals, advise graduate students, attract external funding for research or laboratory improvement, participate in faculty committees, participate in continuous improvement and assessment activities of our academic programs, participate in outreach activities, and support general service activities in the department.

HOW TO APPLY

Applications should include:

1. Cover letter (including announcement number for which you are applying, e-mail, address and phone number)

2. Curriculum Vitae

3. MS (if applicable) and PhD transcripts

4. Three (3) letters of recommendation (It is suggested that one of the letters is written by the applicant’s Ph.D. advisor)

5. Detailed research and teaching statement in a single pdf file (1-2 pages)

6. Copy of three (3) peer-review publications (preferable IEEE transactions/journal) in topics related to embedded systems, hybrid resilient energy systems, electric drives, and power electronics.

Please send the documentation to:

Dr. Irvin J. Balaguer
University of Puerto Rico, Mayagüez Campus
Department of Electrical and Computer Engineering
Call Box 9000
Mayagüez, Puerto Rico 00681- 9000

Telephone: (787) 832-4040, X3821
Email: facultyposition@ece.uprm.edu