average salary for phd research scientist

Research Scientist salary

Average research scientist salary, how much does a research scientist make.

The average research scientist salary in the United States is $89,998. Research scientist salaries typically range between $58,000 and $137,000 yearly. The average hourly rate for research scientists is $43.27 per hour. Research scientist salary is impacted by location, education, and experience. Research scientists earn the highest average salary in California.

Where can a Research Scientist earn more?

Research scientist salary estimates from across the web, average research scientist salary by state.

The average research scientist salary in California, Hawaii, and Indiana are the highest in the U.S. The lowest average research scientist salary states are Utah, Missouri, and Texas.

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Highest paying states for research scientists

Highest paying cities for research scientists.

The highest-paying cities for research scientists are Menlo Park, CA, Indianapolis, IN, and Newark, NJ.

Research Scientists are the most in-demand in these five cities:

• Menlo Park, CA
• Indianapolis, IN
• Oak Ridge, TN

Research Scientist salary details

A research scientist's salary ranges from $58,000 a year at the 10th percentile to $137,000 at the 90th percentile.

What is a research scientist's salary?

Highest paying research scientist jobs.

The highest paying types of research scientists are senior scientist, scientist, and staff scientist.

Top companies hiring research scientists now:

• Meta Jobs (1,847)
• Google Jobs (500)
• Amazon Jobs (886)
• Intel Jobs (595)
• Battelle Jobs (212)

Which companies pay research scientists the most?

Research scientist salaries at Lyft and Flexport are the highest-paying according to our most recent salary estimates. In addition, the average research scientist salary at companies like Meta and Netflix are highly competitive.

Wage gap by gender, race and education

Research scientist salary trends.

The average research scientist salary has risen by $15,126 over the last ten years. In 2014, the average research scientist earned $74,872 annually, but today, they earn $89,998 a year. That works out to a 14% change in pay for research scientists over the last decade.

Compare research scientist salaries for cities or states with the national average over time.

Average research scientist salary over time

Compare research scientist salaries for individual cities or states with the national average.

Research Scientist salary by year

Recently added research scientist salaries, research scientist salary faqs, what state pays research scientists the most, how do i know if i'm being paid fairly as a research scientist, how much do ph.d. scientists make, how much does a research scientist make starting out, how much does a research scientist with a ph.d. make, how much money does a researcher make.

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Research Scientist Related Salaries

• Assistant Research Scientist Salary
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• Postdoctoral Associate Salary
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• Research And Development Scientist Salary
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Research Scientist Related Careers

• Assistant Research Scientist
• Associate Scientist
• Graduate Research Student
• Postdoctoral Associate
• Postdoctoral Research Associate
• Research And Development Scientist
• Research Associate
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• Research Laboratory Technician
• Research Specialist
• Research Technician

Research Scientist Related Jobs

• Senior Research Associate
• Senior Research Fellow
• Senior Scientist
• Staff Scientist

What Similar Roles Do

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• Northwestern Engineering

Six Students Awarded NSF Graduate Research Fellowships

The five-year fellowship is awarded to outstanding students pursuing a graduate degree in stem.

Northwestern Engineering PhD students Mandi Cai, Melissa Chen, Lawrence Chillrud, Fiona Neylon, and Essien Taylor, and undergraduate student Carolyn Zou in Northwestern’s School of Communication, have been awarded National Science Foundation (NSF) Graduate Research Fellowships in recognition of their demonstrated potential for significant research achievements.

The highly selective Graduate Research Fellowship program awards a five-year fellowship to outstanding individuals pursuing a full-time, research-based graduate degree in science, technology, engineering, and mathematics (STEM) disciplines. The students will receive three years of financial support, including an annual stipend.

Prior to joining Northwestern, Cai was a data journalist at The Texas Tribune . Her award-winning work with editors Darla Cameron and Chris Essig inspired Cai’s curiosity about data visualizations in the media and shaped her current research focus.

“This fellowship provides me with the support to investigate all the big, pressing questions I had while working as a data journalist — ‘how is data journalism supporting the public’s ability to understand and interact with data, data visualizations, and statistical models in news coverage around high-profile topics like COVID-19 and elections? How do audiences understand and trust this coverage?’” Cai said.

Leading up to the November elections, she is investigating public perceptions around the use of data and statistical modeling in elections coverage, with a particular focus on the communication of live election results and winner projections. Cai and her collaborators — Kay and Erik Nisbet , Owen L. Coon Endowed Professor of Policy Analysis, and Communication — aim to determine participants’ baseline level of understanding, points of confusion, and degree of distrust toward winner projections in US elections. Using this data, the team will design and test alternative explanations of projections to improve user understanding and synthesize techniques for newsrooms to effectively communicate data-driven models.

“Ultimately, I wish to empower data journalists to be data educators who can consider the unique needs of their reader populations,” Cai said. “I also seek to empower readers to understand data they encounter in everyday life. More public data and statistical literacy supports individuals in evaluating and interrogating data as it is used to guide decisions or fuel algorithms.”

Melissa Chen

Chen studies students’ self-efficacy — or a person's belief in their ability to complete a task or achieve a goal — in introductory computing courses.

Building on research by O’Rourke and Jamie Gorson (PhD ’22), a graduate of the joint PhD program in Computer Science and Learning Sciences , Chen is examining students’ self-assessments during the process of learning programming and the tendency for novice programming students to be self-critical. Chen wants to understand how students with lower self-efficacy are influenced by personal experiences and interactions with the computing community and aims to design scalable systems that help students adjust their self-assessment criteria to be more aligned with what is expected of them as computing learners.

“Self-efficacy has an impact on students’ decisions to persist in computing,” Chen said. “By gaining a better understanding of how to improve and build self-efficacy, I hope to be able to equitably support students so that they feel confident learning and using their computing skills in their everyday lives.”

Supported by a 2023-24 Design Cluster research fellowship, Chen is also working on a related project with O’Rourke and Duri Long , assistant professor of communication studies in the School of Communication and (by courtesy) assistant professor of computer science at Northwestern Engineering. The team is designing a socially situated, small-group intervention to help students reframe their self-assessments and improve their self-efficacy. They plan to work with students to determine how to make the interventions scalable.

Lawrence Chillrud

Chillrud is developing machine learning methods for applications in biomedical imaging. He aims to create robust uncertainty quantification techniques for medical imaging models and to design reliable algorithms that can assist doctors and patients in making informed decisions.

“Knowing when to trust these complex predictive models in high-stakes clinical settings is of critical importance,” Chillrud said. “If a model could reliably estimate its case-by-case uncertainty, clinicians could have a better understanding of how to integrate model predictions in data-driven decision-making, and patients could be better informed and in control of their disease and treatment plan.”

Chillrud is working on two research projects. In his radiological work, he is developing models that seek to predict the presence or absence of important brain tumor biomarkers in a patient’s MRI scan. In pathology, Chillrud is investigating computational techniques to help renal pathologists identify patients most at risk of kidney transplant failure.

Chillrud earned a bachelor’s degree in computer science from Columbia University in 2020. Prior to joining Northwestern, Chillrud was a senior programmer in the Department of Environmental Health Sciences at Columbia University’s Mailman School of Public Health. His research into the development of interpretable machine learning methods for assessing complex mixtures of environmental exposures in epidemiological studies with mentor Marianthi-Anna Kioumourtzoglou ignited Chillrud’s passion for research and inspired him to pursue a PhD.

“I feel tremendously lucky to have been awarded the fellowship and believe that it speaks more to the exceptional support and mentorship I have received over the years from advisers, colleagues, teachers, friends, and family, than it does say anything about me personally,” Chillrud said. “I am also hugely grateful to the NSF for their support during this early and exciting stage of my career.

Katsaggelos is the Joseph Cummings Professor of Electrical and Computer Engineering and (by courtesy) professor of computer Science at Northwestern Engineering and professor of radiology at Northwestern’s Feinberg School of Medicine . Cooper is the director of the Institute for Artificial Intelligence in Medicine’s Center for Computational Imaging and Signal Analytics in Medicine and associate professor of pathology and preventive medicine at Feinberg and (by courtesy) associate professor of electrical and computer engineering.

Fiona Neylon

Neylon’s research interests lie in human-robot interaction in the medical, rehabilitation, and assistive spheres. Drawing from her own prolonged rehabilitation experience during high school after a near-total spinal fusion, she aims to develop tools that clinicians and patients can use to improve overall quality of life.

“Having normal function one day and limited the next made me understand the importance of independence and improving the quality of life for all,” Neylon said. “I’m thankful for being in the unique position of pairing that experience with my technical training to make me the researcher I am today — one motivated to improve the lives of individuals through robotic and assistive solutions.”

After joining Argall’s Assistive and Rehabilitation Robotics Laboratory (argallab) at the Shirley Ryan AbilityLab in 2022, Neylon began working with the argallab’s assistive robotic arm project team on developing a body-machine interface for customized control. The group is studying the learning effects of individuals with spinal cord injuries to control a seven-degree-of-freedom robotic arm via a shared control training paradigm.

“Receiving the fellowship is an incredible honor and is not only validation of the dedication I’ve put into my academic and research pursuits, but also a testament to the support of my mentors,” Neylon said.

Essien Taylor

Taylor investigates computer architecture and aims to reduce energy consumption in power-constrained embedded systems, including electronic medical implants and mobile phones.

“Understanding the energy consumption of microprocessors requires detailed models that take a large amount of time and labor to create,” Taylor said. “My current work will generate these complex models in a fraction of the time and effort, allowing us to rapidly explore countless research avenues.”

In 2023, the financial support of his GEM Fellowship afforded Taylor the opportunity to intern with Cadence Design Systems Inc., which aided his approach to electronics design.

Taylor is also a member of the Karsh STEM Scholars Program at Howard University, where he earned a bachelor’s degree in computer engineering. The program provides full scholarships for undergraduate students in science, technology, engineering, and mathematics disciplines and support for underrepresented minorities completing graduate programs in STEM.

“My experience as a Karsh STEM Scholar at Howard University was crucial in developing my passion for research,” Taylor said.

Carolyn Zou

Zou builds AI tools that support the design of resilient social systems. Leveraging generative language models, her goal is to create ‘agents’ that faithfully represent the people that populate complex social systems.

“Simulations with these agents can reflect the contingent dynamics of social influence and interaction, and prototyping with populated systems allows decision-makers to assess the anticipated effects of, and iterate on, prosocial interventions,” Zou said.

This fall, Zou will join the PhD program in computer science at Stanford University, supported by both the NSF Graduate Research Fellowship and a Stanford Graduate Fellowship.

"I am immensely grateful for the NSF's support as I begin my graduate studies. This recognition is a testament to the incredible mentorship I've received at Northwestern and truly speaks to the opportunities afforded by the wide reach of human-computer interaction research across the University,” Zou said. “Northwestern's interdisciplinary environment allowed me to pursue HCI research from a starting point in the social sciences while developing the technical skills to prepare me for a PhD in computer science, and I look forward to bringing this unique perspective to my future work in human-AI interaction."

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Graduate College

Science of language.

Ashby Martin, a third-year doctoral student in the neuroscience program, didn’t always want to study the brain. Initially, he wanted to be a librarian. At a young age, he memorized his library card number and looked up to the librarians. “My favorite place to go was the library,” he said. “Librarians get to give people knowledge and resources all for free. They give everyone the same access.”  

Buried in books, Martin found himself wanting to investigate things that were unknown; things that hadn’t been written down yet or even discovered, especially about the brain.   

This inclination led Martin to pursue neuroscience. Martin received his bachelor’s in neuroscience and behavior at the University of Notre Dame before joining Iowa’s doctoral program. The faculty, the connection to the hospital, and the foundational research that originated on campus were driving factors in his decision to come here. Martin specifically recalled Iowa’s psychological studies on patient S.M. (“The Woman with No Fear”) and meeting program director Dr. Dan Tranel.  

“That’s the past. [Tranel] is part of the present, and I could be part of the future. My research could be part of that future,” he says.  

Third-year doctoral student Ashby Martin. Photo provided by Ashby Martin.

Connecting through language  

At Iowa, Martin studies developmental neurolinguistics, particularly in young children who are bilingual in Spanish and English. His focus is on “numbers as language”, and he examines the neurological impact and visual representation of shifting between the individual’s multiple linguistic repertories through neurological imaging.   

One in three children under the age of eight speaks two languages. In Iowa, there are robust multilingual communities including West Liberty, Columbus Junction, and Amish populations who speak Pennsylvanian Dutch. As part of his studies, Martin has been able to connect with some of these multilingual communities in addition to participants in the Iowa City area.   

“Visually you can see the learning happening,” he says. “You can connect with people and share something local Iowans actually have . You can share effects that you see in their brains.”   

As someone who grew up speaking two languages, Martin has been able to use his Spanish to further connect with children who are involved in his studies and their parents. He noted that language barriers can impact a parent's involvement with their children’s activities , but being able to listen and respond to their questions in Spanish has bridged that gap.   

Martin notes that connecting with the parents has been a positive byproduct of this research. “Now there’s a parent who is not only engaged in research but is engaged with their kid in a new way that they maybe didn’t have access to before,” he describes. 

Martin leads a psychology and neuroscience station at a STEM event with students from West Liberty High School. Photo provided by Ashby Martin.

Expanding access to science  

One of the largest components of Martin’s research is the community impact. He recalls a story from Tranel, who also graduated from Notre Dame, about the implications of a university-required swim test. Despite its positive intentions, the test drew lines between students who had financial access to a pool and those who didn’t, emphasizing several considerations for research.   

“What is a good purpose? What is good execution? What is the back end of something that you are doing now, and how does it affect the local community?” Martin asks.

  Martin hopes that his work will shift people’s perspectives on language learning, especially modifying the mindset that one needs to achieve proficiency at an early age to learn a new language. Instead, Martin’s research emphasizes that developing a dual representation in the brain requires practice.   

Although he is only in his third year of his PhD, Martin hopes to eventually also publish in Spanish. One of his favorite parts of his work is addressing the lack of Spanish language representation in science by providing something that is normally only in English in Spanish. For Martin, this allows more people to be involved.  

With such a large emphasis on community engagement in his work, it’s no surprise that Martin can strike up a conversation with anyone over something as simple as the colors on a booth. For him, language is a common ground for developing connections with complete strangers.   

In the long-term, Martin hopes to bring his work to other countries outside of the United States to see if this dual representation presents in the same way across international multilingual populations. He describes this as seeing if it’s not just an “Iowa effect, but a human effect.”  

 For now, his team is focusing on bringing their technology out of the lab and into homes where language flows freely.  

College of Science

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A love of marine biology and data analysis

Thursday, May 09, 2024 • Katherine Egan Bennett :

Kelsey Beavers’ love of the ocean started at a young age. Coming from a family of avid scuba divers, she became a certified junior diver at age 11.

“It was a different world,” Beavers said. “I loved everything about the ocean.”

After graduating from high school, the Austin native moved to Fort Worth to study environmental science at Texas Christian University. One of her professors at TCU knew University of Texas at Arlington biology Professor Laura Mydlarz and encouraged Beavers to continue her studies in Arlington.

“Kelsey came to UTA to pursue a Ph.D. and study coral disease, and she quickly got involved in a large project studying stony coral tissue loss disease (SCTLD) , a rapidly spreading disease that has been killing coral all along Florida’s coast and in 22 Caribbean countries,” Mydlarz said. “She has been a real asset to our team, including being the lead author on a paper we published in Nature Communications last year on the disease.”

As part of her doctoral program, Beavers completed original research studying the gene expression of coral reefs affected by SCTLD. Her research involved scuba diving off the coast of the U.S. Virgin Islands to collect coral tissue samples before returning to the lab for data analysis.

“What we found was that the symbiotic algae living within coral are also affected by SCTLD,” Beavers said. “Our current hypothesis is that when algae move from reef to reef, they may be spreading the disease that has been devastating coral reefs since it first appeared in 2014.”

A large part of Beavers’ dissertation project involved crunching large sets of gene expression data extracted from the coral samples and analyzing it in the context of disease susceptibility and severity.

“The analysis part of the project was so much larger than just using a regular Mac, so I worked with the Texas Advanced Computer Center (TACC) in Austin, which is part of the UT System, using their supercomputers,” Beavers said.

Beavers enjoyed the data analysis part of her project so much that when she saw an opening at TACC for a full-time position, she jumped at the chance. She’s now working there part-time until graduation, when she plans to move to Austin for her new role.

“I’m really looking forward to my new position, as I’ll be able to work on research projects other than my own,” she said. “It will be interesting to be a specialist in data analysis and help other scientists use the TACC supercomputers to solve complex questions.”

As part of the job, she’ll travel to other UT System campuses to educate researchers on how they can use the tools available at TACC.

The UTA College of Science, a Carnegie R1 research institution, is preparing the next generation of leaders in science through innovative education and hands-on research and offers programs in Biology, Chemistry & Biochemistry, Data Science, Earth & Environmental Sciences, Health Professions, Mathematics, Physics and Psychology. To support educational and research efforts visit the  giving page , or if you're a prospective student interested in beginning your #MaverickScience journey visit our  future students page .

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Dear Colleague Letter: Non-Academic Research Internships for Graduate Students in Hydrogen and Fuel Cell Technologies (Hydrogen INTERN) Supplemental Funding Opportunity

May 6, 2024

Dear Colleague:

Fostering the growth of a globally competitive and diverse research workforce and advancing the scientific and innovation skills of U.S. students are strategic objectives of the National Science Foundation (NSF). Supporting the development of a skilled workforce in energy efficiency and renewable energy is a strategic objective of the U.S. Department of Energy (DOE). The NSF and DOE's Office of Energy Efficiency and Renewable Energy (EERE) have established a partnership to support internship and training opportunities to meet these strategic objectives with a focus on hydrogen and fuel cell technologies. A new generation of skilled workforce is needed to drive research and development of hydrogen production, delivery, infrastructure, storage, fuel cells, and multiple end uses across transportation, industrial, and stationary power applications. For more information on DOE-EERE's priorities for hydrogen energy research, please see the DOE's Hydrogen Program Areas and the U.S. National Clean Hydrogen Strategy Roadmap .

This Dear Colleague Letter (DCL) describes this unique partnership with DOE EERE's Hydrogen and Fuel Cell Technologies Office (HFTO) and is aligned with and conforms with the NSF INTERN opportunity described in the Dear Colleague Letter: Non-Academic Research Internships for Graduate Students (INTERN) Supplemental Funding Opportunity . This DCL is referred to as the Hydrogen INTERN DCL.

SUPPLEMENTAL FUNDING OPPORTUNITY

NSF will consider supplemental funding requests in the broad area of hydrogen and fuel cell technologies that enable PIs (or Co-PIs) to request supplemental support of up to $55,000 and six months for graduate students supported on active NSF grants with the following goals:

• To provide graduate students with the opportunity to augment their research assistantships or NSF Graduate Research Fellowship Program (GRFP) fellowships with research internship activities and training opportunities that will complement their academic research training.
• To allow graduate students to pursue new activities aimed at acquiring professional development experience that will enhance their preparation for multiple career pathways after graduation.
• To encourage the participation of the full spectrum of diverse talent in science, technology, engineering, and mathematics (STEM).

DESCRIPTION OF THE ACTIVITIES SUPPORTED

The PI/co-PI of an active NSF award may request supplemental funding for one or more graduate students to gain knowledge, skills, training, and experiences in hydrogen and fuel cell technologies and their application areas.

Internship hosts include, but are not limited to:

• Private sector companies, laboratories, or industry research and development groups.
• Start-up businesses such as, but not limited to, those funded through the NSF's Small Business Innovation Research (SBIR) program and Small Business Technology Transfer (STTR) programs.
• Department of Energy Laboratories, other government agencies (all levels), and National Laboratories.
• Museums, science centers, and other informal learning settings that educate the public.
• Policy think-tanks.
• Non-profit organizations.

Prior to submission, PIs are encouraged to discuss possible INTERN supplements with the cognizant NSF Program Director Points of Contact listed in this DCL to ensure the proposed internship and its topic are a good fit for this DCL. It is expected that the graduate student and the PI on the NSF grant will work together to identify experiences that add the most educational value for the graduate student through activities that are not already available at the student's academic institution. Further, it is expected that the internship will be research-focused and will be on-site at the host organization unless a specific exception to this is granted by the cognizant Program Director due to extenuating circumstances.

ELIGIBILITY

To be eligible for this opportunity, graduate students must have completed at least one academic year in their graduate program (master's or doctoral) prior to commencement of the proposed INTERN activity and be making satisfactory progress toward completion of their degree.

SUPPLEMENTAL FUNDING REQUEST PREPARATION INSTRUCTIONS

Information about requesting supplemental support is contained in the NSF PAPPG ), Chapter VI.E.5. In addition to the PAPPG requirements for supplemental support, the following materials must be included.

• A two-page summary that describes the internship
• A one-page personal statement from the graduate student describing career goals, accomplishments, and how the activity will better prepare the individual to enter the workforce.
• Research summary to include contribution(s) to research discipline
• Institution(s)
• Year of study (1st year, 2nd year, etc.)
• Completed coursework
• Employment and volunteer/outreach history
• Publications (accepted only)
• Other information relevant to the proposed internship
• A letter of collaboration from an authorized official at the host organization that describes the internship opportunity and mentoring the student will experience during the internship. The letter should include a statement confirming that neither the graduate student nor the PI has a financial interest in the organization hosting the internship.
• An endorsement letter from the PI that confirms that the student meets the eligibility requirements specified in this DCL. The letter must describe how the proposed internship activity will contribute to the student's graduate education experience and how it may impact time to degree.
• The NSF recipient and Host Organization must agree in advance as to how intellectual property (IP) rights will be handled. A signed agreement on IP (including publication and patent rights) must be submitted either as a supplementary document or, via email to the cognizant Program Director after submission of the supplementary funding request and prior to the award of the supplemental funding. NSF is responsible neither for the agreement reached nor the IP information exchanged between the NSF recipient and Host Organization.
• A budget and budget justification.

SUPPLEMENTAL FUNDING AMOUNT

The total amount of funding requested must not exceed $55,000 per student per six-month period. NSF plans to fund up to approximately 10 or more supplements in each fiscal year starting with FY 2024, depending on availability of funds.

ALLOWABLE COSTS UNDER THIS DCL

Funds may be used to support travel, tuition and fees, health insurance, additional stipend, and temporary relocation costs for the graduate student. Additional stipends are not allowed for GRFP fellows "on tenure" (currently receiving a GRFP stipend), but a stipend will be considered for fellows "on reserve" (not currently receiving a GRFP stipend) equal to the monthly rate of the GRFP stipend. Up to $2,500 may be used for the PI or the graduate research fellow's advisor to travel to work with the host organization in co-mentoring the student during the internship. Up to $2,500 may be used for materials and supplies to support the student during the internship. Travel costs must be allocated in the budget request for the graduate student to travel once to Washington DC, to present the outcomes of the INTERN project at the DOE's Annual Merit Review meeting. The recipient is permitted to request indirect costs in accordance with their approved/negotiated indirect cost rate. The total requested budget cannot exceed the limits listed under the "Supplement funding amount" section above. Note: Spousal and dependent travel are not supported.

PERIOD OF SUPPORT

The supplement funding will provide up to six months of support for an internship. Up to two supplemental funding requests may be submitted on a grant per student. This would allow the student up to two internship periods of up to six months each (i.e., a maximum of 12 months per student).

Supplemental funding requests may be submitted at any time with a target date of June 15 for Fiscal Year 2024 and April 15 for future Fiscal Years.

SUBMISSION & REVIEW

Requests for supplemental funding must be submitted electronically via Research.gov. A PI or co-PI on an NSF award must contact his/her cognizant program director prior to submission. GRFP INTERN supplement requests are submitted by the GRFP PI, not by the GRFP fellow or the fellow's research advisor. Requests for supplemental funding submitted in response to this DCL will be reviewed internally by NSF Program Officers. All supplements are subject to (a) the availability of funds, and (b) merit review of the supplemental funding request.

• Dr. Prakash Balan, [email protected] - Directorate for Engineering
• Dr. Barbara Ransom, [email protected] - Directorate for Geosciences

SPECIAL AWARD CONDITION

Intellectual Property Rights: Internships under this DCL are considered equivalent to traineeships. The National Science Foundation claims no rights to any inventions or writings that might result from its traineeship awards. However, trainees should be aware that NSF, another Federal agency, or some private party may acquire such rights through other support for particular research. Also, trainees should note their obligation to include an Acknowledgment and Disclaimer in any publication.

POLICY OR CODE ADDRESSING HARASSMENT

Recipients are required to have a policy or code of conduct that addresses sexual harassment, other forms of harassment, and sexual assault. The recipient should work with the Host Organization to ensure that the Host Organization also has a policy or code of conduct that addresses sexual harassment, other forms of harassment, and sexual assault including reporting and complaint procedures and to confirm that such policy both covers and protects INTERN students interacting with the Host Organization. The recipient should also coordinate with the Host Organization to provide orientation to graduate students to cover expectations of behavior to ensure a safe and respectful environment, and to review the recipient and host organization's policy or code of conduct addressing sexual harassment, other forms of harassment, and sexual assault, including reporting and complaint procedures. For additional information, see the NSF policies at https://new.nsf.gov/stopping-harassment .

Susan Marqusee, Assistant Director Directorate for Biological Sciences (BIO)

Dilma Da Silva, Acting Assistant Director Directorate for Computer and Information Science and Engineering (CISE)

James L. Moore III, Assistant Director Directorate for Education and Human Resources (EDU)

Susan Margulies, Assistant Director Directorate for Engineering (ENG)

Alexandra Isern, Assistant Director Directorate for Geosciences (GEO)

C. Denise Caldwell, Acting Assistant Director Directorate for Mathematical and Physical Sciences (MPS)

Alicia Knoedler, Office Head Office of Integrative Activities (OIA)

Kendra Sharp, Office Head Office of International Science and Engineering (OISE)

Kaye Husbands Fealing, Assistant Director Directorate for Social, Behavioral and Economic Sciences (SBE)

Erwin Gianchandani, Assistant Director Directorate for Technology, Innovation and Partnership (TIP)

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Guo looking for answers behind semiconducting material properties.

Yesterday · 4 min read

Guo looking for answers behind semiconducting material properties

Metal halide perovskites have emerged in recent years as a low-cost, highly efficient semiconducting material for solar energy, solid-state lighting and more. Despite their growing use, a fundamental understanding of the origins of their outstanding properties is still lacking. A Husker scientist is aiming to find answers that could lead to the development of new materials and new applications.

Yinsheng Guo , assistant professor of chemistry at the University of Nebraska–Lincoln, also wants to transform how physical chemistry is taught to undergraduate and graduate students, who often struggle to understand and apply what they have learned in class to the laboratory and STEM workplace.

Guo’s research and teaching project is funded by a five-year, $648,335 grant from the National Science Foundation’s Faculty Early Career Development Program.

“The importance of photovoltaic technology in the energy portfolio will continue to grow globally and in the U.S.,” Guo said. “Such growth is fueled by the continuous investment and innovation in new technologies.”

Metal halide perovskites (or MHPs), which “have become a star material in the last decade,” represent a major branch of these technologies. Perovskites are a group of materials that have distinctive crystal structures of interconnected octahedral units made of metal and oxide or halide ions. The broadly defined perovskite family is known for its superconducting and ferroelectric properties, drawing interest in both fundamental science and materials engineering. As scientists have learned more about MHPs’ ability to absorb and emit photons of light and be used for harvesting electricity, perovskites have emerged as a much less expensive, easier to scale up alternative to silicon for use in energy technologies.

MHPs can be used as semiconducting materials in a variety of applications, including solar energy, solid-state lighting, lasers, photodetectors and general optoelectronic applications, Guo said.

However, Guo said, “a comprehensive and consistent understanding of the origin of the many outstanding optoelectronic properties is still lacking despite being intensively pursued.” His research goal is to answer fundamental questions about MHPs.

MHPs’ exceptional performance is surprising, given that they are defect-prone, low-temperature, solution-processed materials, Guo said. He and his research team will work to quantify and control MHPs’ unique structural dynamics to better understand their exceptional electronic properties so they can be further developed and commercialized.

Ultimately, a better understanding of MHPs’ design principles could be useful in developing other emerging materials.

Guo also aims to change how students approach physical chemistry.

“Chemistry is the central science and serves as the physical foundation for advancements in both biomedical and material fields,” Guo said. “A good conceptual understanding of the physical and chemical principles enables and empowers a future science, technology, engineering and mathematics workforce.”

As a teacher, Guo said, he has observed that both undergraduate and graduate students struggle with that conceptual understanding, which may be exacerbated by differences in how students learned about physical sciences earlier on.

“Students’ learning is often compartmentalized,” Guo said. “Undergraduate students often assume an exam-oriented mentality and do not find the course content and skills transferrable in their career and life; graduate students often are challenged to transfer course content into research skills.”

Through his CAREER project, Guo will develop a computational and experiential approach to address the challenges of teaching and learning physical chemistry. Guo said he will harness readily available computational resources to break down the learning barrier and bring students toward better conceptual understanding through active, experiential learning.

Computational literacy is also an important element for the next generation entering the STEM workforce at a time when machine intelligence plays an indispensable role. Having built a computational skillset, students will be guided to further explore scientific data, including mapping spectra — a visual representation of the intensity of light — to musical notes. The idea is to produce molecularly encoded music as a bridge between science and art.

The National Science Foundation’s CAREER award supports pre-tenure faculty who exemplify the role of teacher-scholars through outstanding research, excellent education and the integration of education and research.

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Tyler Resident and UT Tyler May 2024 Graduate Recognized at Regional Scholars Forum

May 14, 2024 | Hannah Buchanan

Vega presented “A Neural Network Approach to Predict Opioid Misuse Among Previously Hospitalized Patients Using Electronic Health Records.” Dr. Robert Schumaker, UT Tyler professor of computer science, served as his faculty mentor.

“We appreciate the opportunity for our students to present at the LSUS Regional Student Scholars Forum,” said Dr. Amir Mirmiran, provost and executive vice president for academic affairs. “We are proud of Lucas and his excellent work, as well his mentor, Dr. Schumaker.”

The forum featured original undergraduate and graduate student research from more than 40 colleges and universities across Arkansas, Louisiana, Mississippi, Oklahoma and Texas. Vega holds a UT Tyler Bachelor of Science degree in computer science and mathematics. He plans to become a statistician.

With a mission to improve educational and health care outcomes for East Texas and beyond, UT Tyler offers more than 90 undergraduate and graduate programs to nearly 10,000 students. Through its alignment with UT Tyler Health Science Center and UT Health East Texas, UT Tyler has unified these entities to serve Texas with quality education, cutting-edge research and excellent patient care. Classified by Carnegie as a doctoral research institution and by U.S. News & World Report as a national university, UT Tyler has campuses in Tyler, Longview, Palestine and Houston.