Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
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  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

University of Oregon Postdoctoral Scholar in Eugene, Oregon

Postdoctoral Scholar

Apply now (https://secure.dc4.pageuppeople.com/apply/726/gateway/default.aspx?c=apply&lJobID=528425&lJobSourceTypeID=831&sLanguage=en-us) Job no: 528425

Work type: Faculty - Other

Location: Eugene, OR

Categories: Research/Scientific/Grants, Computer and Information Science

Department: Computer and Information Science

Rank: Postdoctoral Scholar

Annual Basis: 12 Month

Review of Applications Begins

November 22, 2021; position open until filled

Special Instructions to Applicants

Please submit an application letter that outlines your research interests; a CV; and the names and contact information of three references.

Department Summary

The Computer and Information Science Department in the College of Arts and Sciences at the University of Oregon offers BS, MS, and Ph.D. degrees in Computer and Information Science; instruction is provided by 16 tenure track faculty, 2 emeritus faculty, and 6 career instructor faculty. The department serves approximately 600 undergraduate and 90 graduate majors and offers a number of general education classes in the discipline. The primary research foci of the tenure track faculty are high-performance computing, data science, networking, and distributed systems with cross-cutting concerns of security and privacy.

Position Summary

The selected applicant for this position will work as a postdoctoral fellow in the NSF Industry/University Collaborative Research Center for Big Learning (CBL) at the University of Oregon that aims to design novel algorithms and develop efficient systems for deep learning applications in the era of big data. CBL catalyzes the diverse expertise of faculty members, students, industry partners, and federal agencies to create state-of-the-art deep learning methodologies, technologies, and applications across broad domains of business, healthcare, and Internet-of-Things. The postdoctoral fellow will conduct cutting-edge research in an area of artificial intelligence and data science, (e.g., natural language processing, computer vision, machine learning), support the management of CBL, and contribute to grant proposals to different agencies. The postdoctoral fellow will work closely with Prof. Dejing Dou and Prof. Thien Huu Nguyen (the directors of CBL) as well as other faculty and students in the Computer and Information Science Department.

Minimum Requirements

Successful postdoctoral applicants must have a Ph.D. in Computer Science or a related field with a strong record of publication.

Preferred Qualifications

This is a mentored research position and the postdoctoral fellow will be advised by Prof. Dejing Dou and Prof. Thien Huu Nguyen in CBL. Preference will be given to applicants that have research experience in natural language processing, deep learning, machine learning, and/or their applications to the biomedical domain. These are active research areas in CBL.

The University of Oregon is proud to offer a robust benefits package to eligible employees, including health insurance, retirement plans and paid time off. For more information about benefits, visithttp://hr.uoregon.edu/careers/about-benefits.

The University of Oregon is an equal opportunity, affirmative action institution committed to cultural diversity and compliance with the ADA. The University encourages all qualified individuals to apply, and does not discriminate on the basis of any protected status, including veteran and disability status. The University is committed to providing reasonable accommodations to applicants and employees with disabilities. To request an accommodation in connection with the application process, please contact us atuocareers@uoregon.eduor 541-346-5112.

UO prohibits discrimination on the basis of race, color, sex, national or ethnic origin, age, religion, marital status, disability, veteran status, sexual orientation, gender identity, and gender expression in all programs, activities and employment practices as required by Title IX, other applicable laws, and policies. Retaliation is prohibited by UO policy. Questions may be referred to the Title IX Coordinator, Office of Civil Rights Compliance, or to the Office for Civil Rights. Contact information, related policies, and complaint procedures are listed on the statement of non-discrimination (http://studentlife.uoregon.edu/nondiscrimination) .

In compliance with federal law, the University of Oregon prepares an annual report on campus security and fire safety programs and services. The Annual Campus Security and Fire Safety Report is available online at http://police.uoregon.edu/annual-report.

Advertised: October 28, 2021 Pacific Daylight Time

Applications close:

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