As a senior in college, I’ve come to know firsthand how overwhelming it can feel to juggle classes, jobs, club commitments, and leadership roles – let alone adding research to the mix. Some days, it seems like there just aren’t enough hours to get everything done, and the pressure to succeed can feel intense. But let me assure you – everything will be okay. The key is finding balance and giving yourself grace along the way. Here are some strategies that have helped me navigate this journey and a reminder that you are not alone. Continue reading →
Research assistance with literature reviews, article revision, and/or statistical programming sought. Practical, hands-on experience in searching primary literature, study design, statistical programming, and/or writing articles. Five hours weekly commitment sought. Currently working on analysis of substance use (i.e., cannabis, alternative tobacco use) using nationally representative survey data.
Student Qualifications
Interested students should have at minimum an introductory statistics, econometrics or equivalent class. Basic familiarity with statistical programming from such coursework is needed; a desire to learn additional techniques is a bonus.
How to Apply
Please email me explaining interest. Provide a resume and please note any relevant coursework.
Mentor: Stephen Amrock, Assistant Professor
Department: Medicine
Email: amrock@uchc.edu
Timing: Spring 2025, Summer 2025, Ongoing
Campus: UConn Health, Other – virtual possibility
The BrainLens Lab invites applications for research assistant positions focused on exploring the neural mechanisms underlying naturalistic language comprehension across populations with diverse linguistic and cultural backgrounds. This project employs a combination of behavioral and neural methodologies to enhance our understanding of how the brain processes language in real-world scenarios.
Students are expected to conduct literature reviews, participate in data collection, and manage and analyze research data. The position requires less than 9 hours per week, with weekly to biweekly team meetings for progress updates. Course credits are available, and opportunities for publication involvement may arise based on progress and interest.
Student Qualifications
Background or strong interest in cognitive neuroscience, psychology, linguistics, or a related field.
Basic knowledge of statistical approaches and data analysis tools (e.g., R or Python) is a plus.
Attention to detail and consistency is important.
How to Apply
If you are interested, please send an email to Dr. Chanyuan Gu (kmw24003@uconn.edu) with your resume.
Mentor: Chanyuan Gu, Postdoctoral Fellow
Department: Psychological Sciences
Email: kmw24003@uconn.edu
Timing: Fall 2024, Spring 2025, Summer 2025, Ongoing
Campus: Storrs
Join our systematic review project focused on understanding the effects of interventions on the brain and behavior of individuals with autism spectrum disorders (ASDs). We are conducting a comprehensive synthesis of neuroimaging and behavioral data from studies examining pre- and post-intervention changes in individuals with ASDs.
As a research assistant, your primary responsibilities will include:
Assisting with full-text screening of articles to determine eligibility based on our inclusion criteria.
Extracting data related to study design, participant demographics, intervention characteristics, neuroimaging, and behavioral outcomes.
Attending weekly team meetings (45 minutes online) to discuss progress, address challenges, and receive ongoing training and support.
Ensuring accuracy and consistency in data coding, and resolving discrepancies collaboratively.
This position offers an excellent opportunity to gain experience in research methods, systematic reviews, neuroimaging, and autism intervention research. Course credit is available for this role; however, monetary compensation is not available.
Time Commitment: Approximately 4-6 hours per week. Flexible schedule with an expected commitment for the Fall 2024 semester, with the possibility of extension into Spring 2025.
Student Qualifications
Required:
Junior or senior with interest in neuroscience, psychology, special education, or related fields.
Major in psychology, pre-med, neuroscience, education, or related field.
GPA of 3.5 or higher.
Attention to detail and ability to follow complex instructions.
Strong communication and teamwork skills.
Preferred (but not required):
Previous research experience or coursework in neuroimaging, systematic reviews, or autism spectrum disorders.
Familiarity with academic databases (e.g., PubMed, Scopus) and citation management software.
How to Apply
To apply, please submit your CV, a brief statement of interest, and your weekly availability for Fall 2024 to deborah.schneider-richardson@uconn.edu at your earliest convenience. Applications will be reviewed on a rolling basis, so early submission is encouraged.
Mentor: Deborah Schneider, Post-Doctoral Research Associate
Department: Psychological Sciences (BrainLENS)
Email: deborah.schneider-richardson@uconn.edu
Timing: Fall 2024, Spring 2025, Summer 2025, Ongoing
Campus: Storrs
This position will support the publication of a book on the topic of the politics of disability and the US care crisis. The writing relates to the ways ableism (or the devaluation of disability) is embedded into every aspect of our culture and society, which then translates into such things as a lack of care infrastructure and the resulting dependence on the unpaid care work of family members. I am looking for a student who can assist with fact checking for the book, which is an important process in all researched/journalistic writing. Duties will include but aren’t limited to:
Checking cited references
Cross checking field notes
Learning how to use citation software
Creating bibliographies
General support
Student Qualifications
Qualifications:
Experience with research
Knowledge of fact checking processes
Preferred Qualifications:
Experience working for the school newspaper or in other journalistic endeavors
How to Apply
Please email your resume and a brief write up of why you think you are a good fit for this opportunity to Professor Laura Mauldin (laura.mauldin@uconn.edu.
Mentor: Laura Mauldin, Associate Professor
Department: WGSS/SCI
Email: laura.mauldin@uconn.edu
Timing: Fall 2024, Spring 2025
Campus: Storrs
As an undergraduate research assistant at ECOM (Expression, Communication, and the Origins of Meaning Research Group), you will play a key role in organizing conferences and talks, contributing to the smooth execution of these academic events. You will also assist with research activities, particularly in conducting literature reviews to support ongoing projects. Additionally, if you have skills in website design, you will help maintain and update the ECOM website, ensuring it effectively communicates our work and events to the academic community. We are especially interested in students from philosophy, psychology, neuroscience, linguistics, or related fields, as this role offers valuable experience in both research and event coordination, along with the opportunity to enhance your digital skills.
Availability: Must be available to work approximately 9 hours per week, with some flexibility to accommodate key event dates. Specific times will be discussed during the interview process.
Student Qualifications
Academic Background: Must be an undergraduate student majoring in philosophy, psychology, neuroscience, linguistics, or a related field.
Research Skills: Ability to conduct thorough literature reviews, with a strong emphasis on critical thinking and synthesis of academic materials.
Event Coordination: Interest in or experience with organizing academic events, such as conferences and talks, is preferred.
Technical Skills: Basic proficiency in website design and maintenance is desirable but not required.
Communication: Strong written and verbal communication skills are essential for coordinating with event speakers, team members, and managing public-facing content.
Teamwork: Ability to work collaboratively in a team setting, as well as independently on assigned tasks.
Attention to Detail: Must be detail-oriented, especially in tasks related to research, event planning, and website content management
How to Apply
Interested students should submit the following materials to apply for this research opportunity:
CV/Resume: Include relevant academic background, coursework, and any previous research or event coordination experience.
Short Statement: Provide a brief statement (no more than 300 words) explaining your interest in this position, any relevant skills or experience you bring, and your availability.
Please send your application materials to Utku Sonsayar utku.sonsayar@uconn.edu
Mentor: Dorit Bar-On, Professor
Department: Philosophy
Email: dorit.bar-on@uconn.edu
Timing: Fall 2024, Spring 2025
Campus: Storrs
The Ruka Lab in the Department of Electrical and Computer Engineering studies prosthetic and robotic grasping, manipulation, and controls. This position is a research experience focusing on end-effector and test object design. In addition to end-effectors, the choice of test objects is important to comprehensively validate the invention. Working on this project entails designing, building, testing, and iterating using 3D modeling software and additive manufacturing techniques. The student will be expected to work approximately 10hr/week and will primarily include independent design work and regular weekly meetings to discuss progress. Submitting work for publication will be contingent on good progress and interest from the student.
Student Qualifications
Experience with Solidworks or other 3D modelling software is necessary. Experience with MATLAB is a plus, as is experience with prosthetics and robotics, but not necessary. Those without prior research experience are encouraged to apply, so long as they are excited to work on creative hands-on design projects that they will help bring to life.
How to Apply
Please email Professor Yuri Gloumakov (yuri.gloumakov@uconn.edu), and include your year, major, classes you have taken related to design and engineering, a design portfolio (if you have one), how many hours per week you would like to work, and a brief description of why you are interested in this position. Attaching a resume is optional.
Mentor: Yuri Gloumakov, Assistant Professor
Department: Electrical and Computer Engingeering
Email: yuri.gloumakov@uconn.edu
Timing: Fall 2024, Spring 2025, Summer 2025, Ongoing
Campus: Storrs
In recognition of the pivotal role that mentors play in supporting undergraduate research and creative activity, the Office of Undergraduate Research is pleased to announce the recipients of the 2024 Mentorship Excellence Awards. These awards recognize two faculty members – one in a STEM field, and one in a non-STEM field – and one graduate student who exemplify the ways in which outstanding mentors challenge and support their students, enabling them to take intellectual risks and achieve milestones they might not have initially envisioned being able to reach.
Please join us in congratulating Ashley Helton, Ryan Talbert, and Olivia Corvino on their selection as this year’s Mentorship Excellence Award recipients. The awards were presented on Friday, April 12, 2024 during the Frontiers in Undergraduate Research Poster Exhibitions at Storrs.
2024 Mentorship Excellence Award winner Ashley Helton, Ph.D., Associate Professor of Natural Resources & the Environment
Ashley Helton, Associate Professor, Natural Resources & the Environment
Professor Helton was nominated by a number of her students. The following text is excerpted from one nomination.
The majority of my strong undergraduate scientific skill set has in large part been shaped by Dr. Helton’s mentorship. From the beginning, Dr. Helton has set aside time for regular one on one meetings for scientific discussion and support, in addition to including me in her graduate laboratory meetings. Rather than try to keep me in my lane, she always encouraged me to fly high, encouraging me to attend postgraduate courses even though I myself was an undergraduate. She has always welcomed and encouraged my scientific questions. She presented me with scientific literature to build my knowledge base. She provided me with the opportunities to read manuscripts and write some of my first scientific literature. She helped me consider and apply for avenues of scholarship I did not know were available to me. She has invited me to multiple scientific network forums. I always feel Dr. Helton has my best interest at heart and I was moved when she actively sought out an additional internship for me because it shows she genuinely cares about the trajectory of my career. I will always be grateful for the time I have with Dr. Helton. – Anonymous
Ryan Talbert, Assistant Professor, Sociology
Professor Talbert was nominated by Joseph Annan-Kingsley ’24 (CLAS), Samantha Gove ’24 (CLAS), and Kyle Makalusky ’24 (CLAS). The following text is excerpted from their nominations.
2024 Mentorship Excellence Award winner Ryan Talbert, Ph.D., Assistant Professor of Sociology.
Dr. Talbert pushes and challenges his students to take their work and their own skills to the next level. He encourages his students to take their creative work to the next step as he often finds various venues for his lab students to present at. Throughout the three semesters that I actively participated in the lab, Professor Talbert never failed to support student inquiry, challenge students to take next steps in their research, and especially develop a holistic view of his students’ short-term and long-term goals. Dr. Talbert has had an impact on my undergraduate success and my early professional life far greater than can be expected from any mentor. Dr. Talbert crafted an environment that allowed creativity to be nurtured among each student, especially when it came to academic writing skills, which fostered a sense of innovation and collaboration.
Dr. Talbert is undeniably the most incredible mentor I have known as an undergraduate student at UConn. As a graduating senior, I have spent a lot of time in the past few months reflecting on my time in college. I am humbled to say that I have accomplished far more than I could have ever dreamed of in my time in college, and I am certain of the fact that I would not have accomplished a majority of those things without the mentorship of Dr. Talbert.
Olivia Corvino, Ph.D. Student, Nutritional Sciences
Olivia was nominated by Jonatan Schmitt ’24 (CAHNR). The following text is excerpted from Jonathan’s nomination.
2024 Mentorship Excellence Award winner Olivia Corvino, Ph.D. student in Nutritional Sciences.
Olivia has also taken a serious interest in orienting my lab work towards my career goals. During the time we have spent together, I have expressed to her that I am using this research opportunity to enhance my understanding of nutritional science, and I don’t see myself working in a lab environment in my career, so the methods and procedures that we follow can feel outside the scope of my nutrition application. I had told this to my Ph.D. students/teachers in the past, but Olivia has most significantly adjusted my lab experience to meet my academic goals. In addition to helping me understand the science behind each step in the procedural research process, Olivia puts significant emphasis on the research analysis conducted at the experiment’s end. She takes timeout of her schedule to ensure that I have a complete understanding of how the factors we implemented influenced the outcome. I will often ask long open-ended questions to further my understanding, and Olivia remains patient, connecting all the dots in my head until I feel satiated. She has helped to orient me to the different types of nutrition research which has helped me better understand where in this world of research I belong and will be more (or less) fulfilled. Her genuine care for my progress is evident in every interaction, and I feel incredibly fortunate to have such a dedicated mentor by my side.
Congratulations to the 2024 award recipients! The Office of Undergraduate Research thanks the undergraduate students who nominated their faculty and graduate student mentors as well as the Peer Research Ambassadors who served on this year’s selection committee.
Potential projects for undergraduate research will be based on mutual interest. Some topics include:
1. Data-assimilation in climate-motivated reduced order models using semi-analytical approach
2. Robust control of a reduced-order model of spatially developing flows
3. Fixed-flux convection analyzed by reduced-order models
4. Analysis and reduced-order model of flow over hydrophobic surfaces
The student’s responsibilities include problem formulation, programming, and data analysis.
Expected time commitment will be 9 hours per week with duration of at least one semester. The student may earn credit of independent study. Mentor will also encourage and support the application of summer research fellowship.
Student Qualifications
Students are required to be enrolled in an STEM major with a strong background in mathematics (especially calculus and linear algebra), physics, and computer programming (Python or MATLAB). Prior research experience, courses in fluid dynamics, and plan to pursue a Ph.D. program are desired but not required.
How to Apply
Interested students can apply this research opportunity by sending an email to Dr. Chang Liu via chang_liu@uconn.edu with a copy of CV and transcript. A paragraph describing why you are interested in this opportunity, what you plan to do, and the preferred research duration will be appreciated.
I am seeking motivated undergraduate students who are interested in doing research in the cloud system area. Interested students should email me to schedule a time to discuss the opportunity. Students who are interested in working on this research project may be encouraged to register for an independent study course to earn research credit.
Student Qualifications
A student is expected to have the following:
1) Strong coding skills
2) Self-learning and thinking; ability to problem solve
3) Hard working
How to Apply
If you are interested, please send an email with your resume and transcript to Dr. Wei Zhang (wei.13.zhang@uconn.edu).
Mentor: Wei Zhang, Assistant Professor
Department: Computer Science and Engineering (CSE)
Email: wei.13.zhang@uconn.edu
Timing: Ongoing
Campus: Storrs
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