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.
  • The site is refreshed daily to remove out-of-date content.
  • 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

New York University Research Assistant under Division of Science (Computer Science) - Dr. Djellel Difallah in Abu Dhabi, United Arab Emirates

The laboratory of Dr. Djellel Difallah in the Division of Science, New York University Abu Dhabi, seeks a research assistant to join a new lab focused on human-machine learning.

The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and gain pre-doctoral research experience.

The ideal candidate is self-motivated and can work independently, has a passion for AI and its applications, and is willing to learn new technologies. The candidate should have a BS (MS preferred) in Computer Science or another related field. Relevant background and skills include:

  • Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Recommender Systems

  • Graph Theory/Network Science

  • Strong design, development & testing skills

  • Python, C , Javascript

  • Excellent web development skills

  • Experience with probabilistic programming and deep learning frameworks is a plus

For consideration, applicants need to submit a cover letter, curriculum vitae, list of publications (if applicable), a 1-page statement of research interests, and three letters of reference. If you have any questions, please email: dd115@nyu.edu

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

This position is not located in the United States. You must be willing to relocate to Abu Dhabi, United Arab Emirates.

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.

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