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 Department of Civil and Environmental Engineering at the University of Nevada, Reno is hiring a Research Scientist with an anticipated start date of September 15, 2026\. The position will support a variety of research project and large\-scale experimental testing focused on the assessment of buried infrastructure under extreme loading scenarios (e.g., earthquakes) and life\-cycle assessment of state\-of\-the\-art rehabilitation technologies for critical pipeline systems
Primary responsibilities will include:
- Facilitate the design, assembly, and operation of full\-scale testing equipment for various research applications.
- Direct operations of an applied research project to ensure scientific milestones and impact are achieved in accordance with sponsor expectations.
- Manage project timelines, finances, and correspondence with internal/external partners.
- Write project proposals, standard operating procedures (SOPs), technical reports, and other documents associated with specific research goals.
- Interpret and refine experimental data.
- Communicate project outputs with various stakeholders (e.g., conference presentations).
Required Qualifications
M.S. in structural, geotechnical, mechanical, materials engineering or a related field.
Preferred Qualifications
- Experience working in a research laboratory or similar setting (e.g., instrumentation, electronics, sensors, data acquisition, and/or signal processing)
- Ability to work and communicate effectively and professionally with diverse groups of students, researchers, industry representatives, and faculty.
- Strong organizational skills including task and critical\-path management.
Compensation Grade
University Instructor (Research Scientist)
To view the salary schedule for this position, please visit: Salary Schedules and select Academic Engineering Faculty (12\-month, Rank I). 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 on 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
- 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
The Department of Civil and Environmental Engineering (CEE) is a research\-active department with over 550 B.S., M.S., and Ph.D. students, 20 tenured/tenure\-track faculty, seven research faculty, and various technical staff. The department offers ABET\-accredited B.S. degree programs in both Civil Engineering and Environmental Engineering, and graduate programs in five sub\-disciplines that are nationally ranked by US News and World Report. In 2023 the department had annual research expenditures of over $9 million funded by external grants. It actively promotes diversity, equity, and inclusion in all its programs and activities.
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 expenditures that have doubled over the past eight years. Supported by an Engineering Research Office, the college secured $27\.9 million in research awards in FY25 and offers professional development resources to ensure success. We offer bachelor’s, graduate degrees and certificates through three schools:
- Civil, Environmental and Chemical Engineering
- Computer Science, Electrical and Biomedical Engineering
- Mechanical, Aerospace, Industrial and Material Science 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.
For more information, please visit unr.edu/engineering .
Contact Information
Dr. Brad Wham 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] .
Attach the following attachment(s) to your application
1\) Resume/CV
2\) Cover Letter
3\) Contact Information for Three Professional References
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
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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 4,317 AI roles we're tracking, Research Scientist positions make up 4% 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 378 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $194,400.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
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, 15% (635 positions) offer remote work, while 3,657 require on-site attendance. Top AI hiring metros: New York (1,650 roles, $220,000 median); San Francisco (1,335 roles, $265,000 median); Los Angeles (708 roles, $214,112 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 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 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 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). 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 (138) are outnumbered by mid-level (2,071) and senior (1,655) 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 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 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 $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. 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 $287,500 median, while Prompt Engineer roles sit at $145,000. 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 (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 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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