Interested in this Research Scientist role at University of Nevada, Reno?
Apply Now →About This Role
The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be submitted prior to the close of the recruitment.
If you need assistance or have questions regarding the application process, please contact our recruitment helpline at (775) 784-1495 or [email protected] .
Job Description
The School of Civil, Chemical, and Environmental Engineering at the University of Nevada, Reno is hiring a Research Scientist for their Transportation Engineering program. This is a full-time, non-tenure track position with an anticipated start date of November 1, 2026. Primary responsibilities will include:
- Conduct and support research on traffic signal retiming at individual intersections and coordinated corridors using WaySync and other traffic analysis, modeling, and simulation tools.
- Guide and mentor Ph.D. and M.S. students in their research and academic activities in areas including traffic operations and control, traffic simulation and modeling, data-driven transportation applications, and transportation system resilience.
- Support the supervisor in managing laboratory research activities, coordinating research projects, and developing research proposals.
- Identify federal, state, local, and other external funding opportunities and independently lead the development and preparation of research proposals.
- Prepare technical reports, peer-reviewed research papers, presentations, and other research project deliverables.
- Coordinate and communicate with research sponsors, local transportation agencies, the Nevada Department of Transportation (NDOT), and other project partners to support project implementation and delivery.
- Collaborate with faculty members in the transportation engineering program on interdisciplinary research, proposal development, publications, and other scholarly activities.
Support other research and educational activities within the department as needed. *
Required Qualifications
PhD in Transportation Engineering
Compensation Grade
University Instructor (Research Scientist)
To view the salary schedule for this position, please visit: Salary Schedules and select Administrative Faculty by Grade. Salary is competitive and commensurate with related education and experience.
Remarkable Retirement
Our retirement plan is beyond compare. Your 19.25% contribution is generously matched by the University. With the faculty retirement plan, you are 100% vested your first day. Sit back and watch your retirement dollars grow! All permanent employees on an annual "A" or "B" contract who are employed at least 50% full-time are eligible to participate in the NSHE retirement program unless they are members of PERS of Nevada.
Perks of Working at UNR
- Health insurance options including dental and vision - Health Insurance
- Generous annual, sick leave, long term disability and life insurance – Faculty Benefits
- E. L. Wiegand Fitness Center offers annual or semester memberships and spouse/domestic partner membership options . E.L. Wiegand Fitness Center
- Reno is proud to be a University town! Many local businesses offer discounts to WolfCard holders
- Mountain EAP supports employees (and eligible dependents) through life's difficult moments. Mountain EAP is located in Reno and specializes in counseling and advising services for personal or interpersonal issues.
- Faculty Senate is the principal representing body for faculty. Its membership includes representatives from each academic and administrative major unit of the University. Faculty Senate
No state income tax!
*
Grants-in-Aid for Faculty Employees
The University is proud to provide a reduced-rate tuition benefit to faculty and qualified dependents. Faculty can take up to six credits per semester at a reduced rate. Dependents of faculty have unlimited credits, but in order to be eligible children must be unmarried and under the age of 24 and must receive at least 50% of their financial support from the employee and/or employee’s spouse or domestic partner. Faculty Grants-in-Aid
Faculty Dual Career Assistance Program
The University of Nevada, Reno recognizes the importance of addressing dual-career couples’ professional needs. We offer a dual career assistance program to newly hired faculty spouses/partners that provides resources and assists them to identify career opportunities in Northern Nevada. Dual Career Assistance Program
Department Information
Shape the future and advance your career at the School of Civil, Chemical and Environmental Engineering (CCEE) at University of Nevada, Reno College of Engineering. With a faculty and staff team of more than 40, CCEE offers ABET-accredited undergraduate programs and nationally recognized graduate programs in civil, chemical, and environmental engineering. Faculty and students advance sustainable infrastructure, environmental stewardship, biotechnology, renewable energy, water resources, and earthquake resilience. Home to the Earthquake Engineering Laboratory and leading water research centers, CCEE offer strong connections to industry and access to world-class outdoor recreation.
The CCEE is a teaching and research unit within the College of Engineering at the University of Nevada, Reno. The school provides education and conducts research across a broad range of civil and environmental engineering disciplines. Its transportation engineering program has strengths in traffic operations and control, transportation safety, transportation systems modeling and simulation, intelligent transportation systems, transportation infrastructure, and transportation system resilience. Faculty and researchers collaborate with federal, state, and local transportation agencies, as well as other public- and private-sector partners, on sponsored research addressing current and emerging transportation challenges.
College Information
Join the College of Engineering at the University of Nevada, Reno. We value faculty and staff as partners in our mission to deliver outstanding education, research and engagement. Our college seeks individuals committed to:
- Engaging in impactful outreach
- Providing state - of - the - art education
Fostering respect, inclusiveness and diversity *
Nevada Engineering is a fast-growing college, with research expenditure that has doubled over the past nine years. Supported by an Engineering Research Office, the college recorded $24 million in expenditures in FY26 and offers professional development resources to ensure success. We offer bachelor’s, graduate degrees and certificates through three schools:
- Civil, Chemical and Environmental Engineering
- Computer Science, Electrical, and Biomedical Engineering
Aerospace, Industrial, Materials, and Mechanical Engineering *
Our specialized facilities include the Center for Civil Engineering Earthquake Research, Cybersecurity Center, the Nanofabrication Lab in the Davidson Foundation Cleanroom and the Nevada Water Innovation Institute. Located near the Tahoe-Reno Industrial Center and offering ready access to the bustling California economy, Nevada Engineering collaborates with leading tech firms and advance research in robotics, AI, battery technology, aerospace, water systems and sustainable energy.
In Reno, you will find world-class outdoor recreation opportunities — including skiing, hiking, biking and water sports — in nearby Lake Tahoe and throughout the northern Nevada region.
Learn more at unr.edu/engineering
Contact Information
Dr. Zong Tian at [email protected]
Exempt
Yes Full-Time Equivalent
100.0% Required Attachment(s)
Please note, once you submit your application the only attachment/s viewable to you will be the attachment/s to the resume/CV section of the application. Any additional required attachment/s to the cover letter, references, additional documents sections of the application, will not be viewable to you after you submit your application. All uploaded attachment/s will be on the application for the committee to review. To request updates to attachments, prior to the committee review of applications, please contact the candidate helpdesk at [email protected] .
Please attach the following documents to your application
- Resume/CV
- Cover Letter
- Contact Information for three professional references
4)Research Statement
This posting is open until filled
Qualified individuals are encouraged to apply immediately. This search will close without notice when a sufficient number of applications are received or a hiring decision has been made.
Posting Close Date
Note to Applicant
A background check will be conducted on the candidate(s) selected for hire.
HR will attempt to verify academic credentials upon receipt of hiring documents. If the academic credentials cannot be verified, HR will notify the faculty member that an official transcript of their highest degree must be submitted within thirty days of the faculty member’s first day of employment.
References will be contacted at the appropriate phase of the recruitment process.
Applicants hired on a federal contract may be subject to E-Verify.
As part of the hiring process, applicants for positions in the Nevada System of Higher Education may be required to demonstrate the ability to perform job-related tasks.
For positions that require driving, evidence of a valid driver's license will be required at the time of employment and as a condition of continued employment.
Schedules are subject to change based on organizational needs.
The University of Nevada, Reno is committed to providing a place of work and learning free of discrimination on the basis of a person’s age (40 or older), disability, whether actual or perceived by others (including service-connected disabilities), gender (including pregnancy related conditions), military status or military obligations, sexual orientation, gender identity or expression, genetic information, national origin, race (including hair texture and protected hairstyles such as natural hairstyles, afros, bantu knots, curls, braids, locks and twists), color, or religion (protected classes).
About Us
The University of Nevada, Reno is a leading public research university committed to the promise of a future powered by knowledge. Founded in 1874 as Nevada’s original land-grant university, the University serves more than 23,000 undergraduate and graduate students from all 50 states and 63 countries.
Classified by the Carnegie® Classification of Institutions of Higher Education as an R1 (“Very High Research”) university, it is also recognized in the Carnegie® Community Engagement classification. The University is also ranked by U.S. News & World Report among the “Best National Universities” and “Best National Public Universities.” It also ranks in the top tier of the WSJ/Times Higher Education World University Rankings and the New York Times’ “Top Colleges for Economic Diversity.”
Since 2009, nearly $1 billion has been has invested in advanced labs, facilities, and residence halls on the main campus. The University is home to Nevada’s first medical school – the University of Nevada, Reno School of Medicine and the Wayne L. Prim Campus at Lake Tahoe, where education, research, and creative work thrive in a stunning mountain setting. The University delivers on its original land-grant mission with outreach across the state through the University of Nevada, Reno Extension, Nevada Agricultural Experiment Station, Nevada Bureau of Mines and Geology, Nevada Small Business Development Center, the Nevada Seismological Laboratory, and Wolf Pack Athletics.
The main campus is in Reno, Nevada, a burgeoning global technology hub with a vibrant midtown and downtown. Found where the high desert of the Great Basin meets the High Sierra and Lake Tahoe, the beautiful, 290-acre main campus is also a Nevada State Arboretum. The University’s physical infrastructure is expanding with ongoing construction of the newly named John Tullock Business Building, set to open in fall 2025. Groundbreaking is also planned for a new State Public Health Laboratory Building on campus, alongside the recent acquisition of 16 parcels near campus, known as “University Village,” to provide affordable housing for graduate students and early career faculty.
Collaborating with world-renowned organizations, the University fosters innovation through initiatives such as the Digital Wolf Pack partnership with Apple, which ensures equitable access to technology for students, providing new incoming freshman or transfer students with an iPad Air and accessories. Google’s TechWise initiate is an 18-month program that fully supports undergraduate students in becoming entry-level software engineers by graduation.
In 2023, the U.S. Department of Commerce’s Economic Development Administration (EDA) announced that Nevada – led by the University of Nevada, Reno – was named one of the inaugural 31 Regional Technology and Innovation Hubs (TechHubs). Nevada was selected from a competitive pool of 489 applicants from across the United States and its territories. Nevada’s Tech Hub will strengthen America’s lithium batteries, critical elements and other electric vehicle materials industry sectors within the state.
Through its commitment to high-impact education, world-improving research and creative activity, and outreach that’s transforming Nevada’s communities and businesses, the University continues its 150-year tradition of benefitting our state, nation and world.
The University recognizes that diversity promotes excellence in education and research. The inclusive and engaged community on campus recognizes the added value that students, faculty, and staff from different backgrounds bring to the educational experience.
Today, the University delivers on its original land-grant mission of access to education and knowledge by investing in the academics, facilities, support, engagement and vibrant campus life that promote our diverse students’ cognitive growth and academic achievement – all while remaining one of the best values in American higher education.
For more information, please visit the University’s website .
University of Nevada, Reno
Role Details
About This Role
Research Scientists push the boundaries of what AI can do. They design experiments, develop novel architectures, publish papers, and translate research breakthroughs into production capabilities. This is where the fundamental advances happen, from attention mechanisms to diffusion models to reasoning chains.
The work is intellectually demanding and often ambiguous. You might spend months on an approach that doesn't pan out. The best research scientists combine deep mathematical intuition with engineering pragmatism. They know when to go deep on theory and when to run experiments. They read papers voraciously and can spot incremental contributions from genuine breakthroughs.
Across the 9,079 AI roles we're tracking, Research Scientist positions make up 2% of the market. At University of Nevada, Reno, this role fits into their broader AI and engineering organization.
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
What the Work Looks Like
A typical week includes: reading and discussing recent papers with your team, designing and running experiments on multi-GPU clusters, analyzing results and iterating on hypotheses, writing up findings for internal review or publication, and collaborating with engineering teams to productionize promising results. The ratio of thinking to coding is higher than in engineering roles.
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
Skills in Demand for This Role
PhD strongly preferred for most roles. Deep expertise in a specific area (NLP, computer vision, reinforcement learning, multimodal) is expected. PyTorch is the standard. Publication track record matters. Strong mathematical foundations in linear algebra, probability, optimization, and information theory are assumed.
Beyond the fundamentals, companies value experience with large-scale distributed training, novel architecture design, and the ability to bridge theory and practice. Understanding of current frontier topics (reasoning, multimodal, long-context, alignment) is essential. Code quality matters more than many researchers expect. Labs want researchers who can implement their ideas cleanly.
Strong research postings specify the research area, mention the team you'd join, and describe the problems they're working on. They often list recent publications from the team. Vague 'AI research' postings without specifics usually mean the company wants to sound impressive but doesn't have a real research agenda.
Compensation Benchmarks
Research Scientist roles pay a median of $222,200 based on 749 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200.
Across all AI roles, the market median is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($256,000) and Research Engineer ($252,000). By seniority level: Entry: $111,000; Mid: $193,200; Senior: $229,300; Director: $272,300; VP: $235,830.
University of Nevada, Reno AI Hiring
University of Nevada, Reno has 1 open AI role right now. They're hiring across Research Scientist. Based in Reno, NV, US.
Location Context
Across all AI roles, 6% (531 positions) offer remote work, while 8,478 require on-site attendance. Top AI hiring metros: New York (3,078 roles, $221,000 median); San Francisco (2,646 roles, $261,000 median); Los Angeles (1,486 roles, $210,000 median).
Career Path
Common paths into Research Scientist roles include PhD Student, Research Engineer, Postdoc.
From here, career progression typically leads toward Research Lead, Distinguished Scientist, VP of Research.
The PhD is the entry point for most paths. Choose your advisor and research area carefully since they'll define your first industry position. Publish consistently, contribute to open-source projects in your area, and build relationships at conferences. Industry research offers better compensation and compute resources than academia, but the pressure to show product impact is real.
What to Expect in Interviews
Research interviews are multi-stage: a research talk (present your best paper), technical deep-dives on your methodology, and often a 'research proposal' exercise where you design an experiment to test a hypothesis. Coding rounds test implementation ability alongside theoretical knowledge. Be prepared to implement a paper from scratch and discuss the design choices the authors made. Strong candidates can critique papers constructively and identify gaps in experimental methodology.
When evaluating opportunities: Strong research postings specify the research area, mention the team you'd join, and describe the problems they're working on. They often list recent publications from the team. Vague 'AI research' postings without specifics usually mean the company wants to sound impressive but doesn't have a real research agenda.
AI Hiring Overview
The AI job market has 9,079 open positions tracked in our dataset. By seniority: 106 entry-level, 4,384 mid-level, 3,343 senior, and 1,246 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (531 positions). The remaining 8,478 roles require on-site or hybrid attendance.
The market median for AI roles is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($256,000 median, 66 roles); Research Engineer ($252,000 median, 457 roles); AI Engineering Manager ($251,622 median, 55 roles).
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
The AI Job Market Today
The AI job market spans 9,079 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,862), AI Product Manager (453), AI Software Engineer (451). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (106) are outnumbered by mid-level (4,384) and senior (3,343) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,246 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (531 positions), with 8,478 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,000. Top-quartile roles start at $263,911, and the 90th percentile reaches $318,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $256,000 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,649 postings), Aws (898 postings), Azure (723 postings), Rag (671 postings), Gcp (536 postings), Pytorch (434 postings), Claude (410 postings), Kubernetes (406 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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