Rsch Pro 5-Data Analytics

Summary: The Researcher-5 will lead the effort and collaborate with graduate
students and Signals-and-Systems UMN-ECE faculty in developing theory and
application tools for artificial intelligence (AI), and training efficient data analytics.

60% - Leading research in AI will include generative models, algorithms and
performance analysis, graph-driven deep neural networks, data-efficient machine
learning, self-supervised learning, reinforcement learning, online learning, and
meta-learning with applications to communications and networking. Authoring or
co-authoring, or otherwise collaborating on reports, conference papers and
journal publications in flagship venues, and delivering technical presentations.

20% - Leading the research activities related to the funded project(s) within the
research group and across collaborators (UConn./Michigan State U./ GMU
and U. of GA), mentoring junior research assistants, project-status reporting.
Helping in the organizing of short courses and reading group on generative
AI, diffusion models, and if time allows, also quantum information processing.

20% - Leading the effort to mentor students, preparing bibliographies, abstracting,
editing, keeping records, etc. Other duties as assigned.

Required Qualifications: BA/BS plus at least six years of relevant experience or advanced degree plus at least four years of relevant experience. PhD or similar terminal degree in ECE with major in optimization and statistics or related area. (preferred) Experience in theory of optimization and statistical models as well as wireless communication networks and perhaps
the smart power grid for at least three (3) years after PhD.

Required Qualifications: BA/BS plus at least six years of relevant experience or advanced degree plus at least four years of relevant experience. PhD or similar terminal degree in ECE with major in optimization and statistics or related area.

Preferred: Experience in theory of optimization and statistical models as well as wireless communication networks and perhaps the smart power grid for at least three (3) years after PhD.

The Department of Electrical and Computer Engineering is one of the largest departments within the College of Science and Engineering. Current research areas include Biomedical and Biological Computation Methods; Devices and Systems; Communications, Signal Processing, and Networking; Computer Engineering, VLSI, and Circuits; Fields, Photonics, and Magnetics; Micro and Nano Structures; Sustainable Energy Systems, Power Electronics and Drives; Systems and Controls. To learn more about the Department of Electrical and Computer Engineering at the University of Minnesota, please visit the department website.

Fixed Rate: $75,000

Time Appointment Category: 75%-100% Appointment (If job description above does not specify appointment or expected weekly hours, assume a 100% appointment.)

Position Type: Faculty and P&A Staff

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
• Low-cost medical, dental, and pharmacy plans
• Healthcare and dependent care flexible spending accounts
• University HSA contributions
• Disability and employer-paid life insurance
• Employee wellbeing program
• Excellent retirement plans with employer contribution
• Public Service Loan Forgiveness (PSLF) opportunity
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost
• Employee Transit Pass with free or reduced rates in the Twin Cities metro area

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).