{"schemaVersion":"jobsearcher.job.v1","id":"a4e108fccde1981d418b32e6","url":"https://jobsearcher.com/jobs/a4e108fccde1981d418b32e6","canonicalUrl":"https://jobsearcher.com/jobs/a4e108fccde1981d418b32e6","title":"Postdoctoral Research Associate, Electrical and Computer Engineering","description":"Postdoctoral Research Associate (Electrical and Computer Engineering)\nPosting Number: req22588\n\nDepartment: Electrical and Computer Engineering\n\nDepartment Website: https://ece.engineering.arizona.edu/\n\nLocation: Main Campus, Tucson, AZ, USA\n\nPosition Highlights\nThe Department of Electrical and Computer Engineering (ECE) at the University of Arizona is seeking a qualified and highly motivated Postdoctoral Research Associate to join the Artificial Intelligence (AI) & Machine Learning (ML) Lab, under the supervision of Dr. Bo Liu.\n\nThe research team is a collaborative partnership among nine U.S. universities led by the University of Arizona, focusing on reinforcement learning, multi-agent systems, neuro-symbolic AI, and trustworthy intelligence.\n\nWe invite qualified candidates to participate in cutting-edge research on these topics. This is a year-to-year appointment, contingent upon funding and performance.\n\nBenefits\nOutstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more! For additional information about working at the University of Arizona and relocation services, please click here .\n\nDuties & Responsibilities\n\nConduct research in deep reinforcement learning, multi-agent systems, trustworthy AI, explainable/safe AI, neuro-symbolic AI, and autonomous driving.\n\nPublish research findings in top-tier conferences and journals.\n\nMentor graduate and undergraduate students in AI-related research projects.\n\nParticipate in grant writing and proposal development to support ongoing and future research initiatives.\n\nPerform additional duties as assigned.\n\nKnowledge, Skills, and Abilities\n\nKnowledge in scientific or engineering fields related to Artificial Intelligence and Machine Learning.\n\nKnowledge in control theory and its applications.\n\nMinimum Qualifications\n\nPhD in Electrical Engineering, Electrical and Computer Engineering, Computer Science, Mechanical Engineering, Communication Engineering, Applied Math, or a closely related field.\n\nPhD must be conferred upon hire.\n\nPreferred Qualifications\n\nEffective writing experience for publication in scientific research journals.\n\nAdditional Details\n\nFLSA: Exempt\n\nFull/Part Time: Full Time\n\nHours per Week: 40\n\nJob FTE: 1.00\n\nWork Calendar: Fiscal\n\nJob Category: Research\n\nBenefits Eligible: Yes\n\nSalary: NIH salary guidelines, depends on experience\n\nCompensation Type: Salary at 1.0 FTE\n\nBackground Check: Name-based criminal background check (non-security sensitive)\n\nNumber of Vacancies: 1\n\nOpen Date: 5/2/2025\n\nOpen Until Filled: Yes\n\nApplication Documents: CV, Cover Letter, two additional documents (including a publication and research plan)\n\nApplication Instructions: Please submit a cover letter highlighting relevant experience and research interests, CV, a copy of one publication, and a research plan.\n\n#J-18808-Ljbffr","company":"Phase2 Technology","rawCompany":"phase2 technology","city":"Tucson","state":"AZ","isRemote":false,"isActive":true,"createdAt":"2026-06-20T04:55:32.406Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"17-2071.00","title":"Electrical Engineers","slug":"electrical-engineers"},{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"}],"industries":[{"code":"611310","title":"Colleges, Universities, and Professional Schools","slug":"colleges-universities-and-professional-schools"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541720","title":"Research and Development in the Social Sciences and Humanities","slug":"research-and-development-in-the-social-sciences-and-humanities"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Postdoctoral Research Associate, Electrical and Computer Engineering","description":"Postdoctoral Research Associate (Electrical and Computer Engineering)\nPosting Number: req22588\n\nDepartment: Electrical and Computer Engineering\n\nDepartment Website: https://ece.engineering.arizona.edu/\n\nLocation: Main Campus, Tucson, AZ, USA\n\nPosition Highlights\nThe Department of Electrical and Computer Engineering (ECE) at the University of Arizona is seeking a qualified and highly motivated Postdoctoral Research Associate to join the Artificial Intelligence (AI) & Machine Learning (ML) Lab, under the supervision of Dr. Bo Liu.\n\nThe research team is a collaborative partnership among nine U.S. universities led by the University of Arizona, focusing on reinforcement learning, multi-agent systems, neuro-symbolic AI, and trustworthy intelligence.\n\nWe invite qualified candidates to participate in cutting-edge research on these topics. This is a year-to-year appointment, contingent upon funding and performance.\n\nBenefits\nOutstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more! For additional information about working at the University of Arizona and relocation services, please click here .\n\nDuties & Responsibilities\n\nConduct research in deep reinforcement learning, multi-agent systems, trustworthy AI, explainable/safe AI, neuro-symbolic AI, and autonomous driving.\n\nPublish research findings in top-tier conferences and journals.\n\nMentor graduate and undergraduate students in AI-related research projects.\n\nParticipate in grant writing and proposal development to support ongoing and future research initiatives.\n\nPerform additional duties as assigned.\n\nKnowledge, Skills, and Abilities\n\nKnowledge in scientific or engineering fields related to Artificial Intelligence and Machine Learning.\n\nKnowledge in control theory and its applications.\n\nMinimum Qualifications\n\nPhD in Electrical Engineering, Electrical and Computer Engineering, Computer Science, Mechanical Engineering, Communication Engineering, Applied Math, or a closely related field.\n\nPhD must be conferred upon hire.\n\nPreferred Qualifications\n\nEffective writing experience for publication in scientific research journals.\n\nAdditional Details\n\nFLSA: Exempt\n\nFull/Part Time: Full Time\n\nHours per Week: 40\n\nJob FTE: 1.00\n\nWork Calendar: Fiscal\n\nJob Category: Research\n\nBenefits Eligible: Yes\n\nSalary: NIH salary guidelines, depends on experience\n\nCompensation Type: Salary at 1.0 FTE\n\nBackground Check: Name-based criminal background check (non-security sensitive)\n\nNumber of Vacancies: 1\n\nOpen Date: 5/2/2025\n\nOpen Until Filled: Yes\n\nApplication Documents: CV, Cover Letter, two additional documents (including a publication and research plan)\n\nApplication Instructions: Please submit a cover letter highlighting relevant experience and research interests, CV, a copy of one publication, and a research plan.\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T04:55:32.406Z","dateModified":"2026-06-20T04:55:32.406Z","hiringOrganization":{"@type":"Organization","name":"Phase2 Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tucson","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a4e108fccde1981d418b32e6"},"url":"https://jobsearcher.com/jobs/a4e108fccde1981d418b32e6"}}