UConn Research Opportunity

Research Student Assistant in Endocrinology Metabolic Lab (UConn Health)

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Opportunity Description

Dr. Francesco S. Celi (UConn Health – Department of Medicine, Endocrinology) is seeking a student assistant to perform routine tasks in a research environment. Our laboratory interest is focused on the role of “Thermogenic fat” in the protection against weight gain and its metabolic consequences. Daily job activities include:
• Assist Lab Staff in development and implementation of routine in vivo and in vitro experiments.
• Perform complex laboratory tasks with minimal supervision.
• Be involved with research animals (mice) handling and experimental procedures.

Student Qualifications
Special Requirements (including education, degrees, skills):
Enrolled at UConn Storrs or UConn Health Farmington with a B.sc or M.Sc. in a Biological Sciences area. Seeking a graduate student or undergraduate student who is close to graduation (December 2023 or May 2024 graduation).
Preferred Requirements:
The position’s required skills can also be attained through on-the-job training.
Applicants with any of the following skills may be given preferential consideration:
Prior Lab work experience:
• Nucleic acids extraction and amplification
• Protein extraction and immunoblotting
• Immunoassays
• Research animals (mice) handling
Familiarity with Microsoft Office (e.g. Word, Excel, PowerPoint)
Data acquisition and statistical analysis

How to Apply
Interested applicants should send a CV and cover letter to lodovico@uchc.edu, along with their availability.

Mentor: Dr. Francesco Celi, Chair, Department of Medicine
Department: Department of Medicine
Email: celi@uchc.edu
Timing: Ongoing
Campus: UConn Health – Farmington

Research Assistant Opportunity in Reduced-Order Modeling of Fluid Dynamics

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Opportunity Description

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.

Mentor: Chang Liu, Assistant Professor
Department: Mechanical Engineering
Email: chang_liu@uconn.edu
Timing: Ongoing
Campus: Storrs

Research Opportunity – Cloud System area

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Opportunity Description

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

• Field Research Opportunity: Luquillo Experimental Forest of Puerto Rico

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Opportunity Description

Volunteer positions for fieldwork in the Luquillo Experimental Forest of Puerto Rico are available during the summer of 2023. This tropical site has a rich history of ecological research (see http://luq.lternet.edu/) and is currently funded from a grant from National Science Foundation’s Long-Term Ecological Research Program (see http://www.lternet.edu/). Applicants must be able to commit for blocks of time (usually 4-7 weeks in duration, exact duration and dates will be determined, in part, based on availability of applicants) to be in Puerto Rico. Additional opportunities for research experience and the potential to work on related research projects at the University of Connecticut following fieldwork exist for interested participants.

Our research team will investigate responses of snails and insects to environmental variation related to elevation, landscape characteristics, or natural disturbances, including responses to Hurricane Maria (2017), and a long-term simulated hurricane experiment. Fieldwork is conducted at night and involves surveys by teams of workers at a series of small plots throughout the forest. Work involves long hours and hiking in wet and slippery mountainous terrain.

This is a fantastic opportunity to gain practical field experience in the only tropical forest within the US Forest System. At night the forest comes alive with the calls of endemic frogs (coquis), with potential opportunities to interact with scientists and students from other universities that conduct ecological research on diverse aspects of the forest.

Lodging and round-trip transportation (plane ticket) will be provided by the project.

Student Qualifications
We are seeking mature, responsible, and hard-working students who are dedicated team-players. Good field habits (i.e., good note taking, good observations) are a plus. No previous work experience in tropical rainforests is necessary.

How to Apply
If interested, please contact Steven Presley (steven.presley@uconn.edu) or Michael Willig (michael.willig@uconn.edu) as soon as possible.

Mentor: Michael Willig, Board of Trustees Distinguished Professor, and Steven Presley, Postdoctoral Research Associate
Department: Institute of the Environment
Email: michael.willig@uconn.edu; steven.presley@uconn.edu
Timing: Summer 2023, Ongoing
Campus: Off-campus Summer 2023, Storrs ongoing

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• Research Assistant in REINVENT-PT Lab

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Opportunity Description

The REINVENT-PT lab (REhabilitation INnoVations & Emerging Novel Technologies in Physical Therapy, PI: Dr. Sudha Srinivasan) at the University of Connecticut (UConn) is interested in understanding developmental trajectories of individuals with developmental disabilities including Autism, Cerebral Palsy, Down syndrome, etc. across the lifespan.
The REINVENT-PT lab is interested in understanding developmental trajectories of individuals with neuro-developmental disabilities such as Autism, Cerebral Palsy, Down syndrome, and Intellectual Disability across the lifespan. We are interested in studying how infants and children with developmental disabilities explore their physical and social environment compared to typically developing peers and the cascading effects of motor difficulties on a child’s social communication and cognitive development. We are also interested in assessing health-related outcomes in adolescents and young adults with developmental disabilities, including their physical activity and physical fitness levels. Based on our understanding of the developmental trajectories of individuals with disabilities, our goal is to develop multisystem, engaging, evidence-based, behavioural interventions and assistive technologies to empower the lives of people with disabilities.
At present, the lab has 2 ongoing research projects: (1) we are exploring the utility and efficacy of using playful joystick-operated ride-on-toys to promote upper extremity function and spontaneous use in children with hemiplegic Cerebral Palsy both in a camp setting and as a home-based program. Specifically, we are also interested in comparing the efficacy of single versus dual joystick ride-on-toy navigation training in improving uni- and bimanual function in children with hemiplegic CP, (2) assessing the ability of healthy neurotypical children to drive joystick-operated ride-on-toys using their non-dominant side.

Student Qualifications
We are looking for passionate, energetic, and empathetic undergraduate students interested in working on projects involving infants, children, and adults with disabilities. Students can pursue research at the lab for credit, for work study, and with the potential of converting a subset of the research into an honor’s thesis. Students are required to commit to pursuing research in the lab for at least 2-3 semesters in order for the experience to be meaningful for students. Students are required to complete CITI training given that our research is with human subjects (details will be provided by the study PI).

How to Apply
Students from diverse backgrounds including but not limited to psychology, physiology and neurobiology, biology, exercise science, communication sciences, allied health, and education are encouraged to contact Dr. Sudha Srinivasan at sudha.srinivasan@uconn.edu. Please attach your CV/Resume and your unofficial transcript in your email.

Mentor: Sudha Srinivasan, Assistant Professor
Department: Kinesiology (Physical Therapy)
Email: sudha.srinivasan@uconn.edu
Timing: Spring 2023, Summer 2023, Ongoing
Campus: Storrs

• Research Assistant in REINVENT-PT Lab

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Opportunity Description

The REINVENT-PT lab (REhabilitation INnoVations & Emerging Novel Technologies in Physical Therapy, PI: Dr. Sudha Srinivasan) at the University of Connecticut (UConn) is interested in understanding developmental trajectories of individuals with neuro-developmental disabilities including Autism, Cerebral Palsy, Down syndrome, etc. across the lifespan.

We are interested in studying how infants and children with developmental disabilities explore their physical and social environment compared to typically developing peers and the cascading effects of motor difficulties on a child’s social communication and cognitive development. We are also interested in assessing health-related outcomes in adolescents and young adults with developmental disabilities, including their physical activity and physical fitness levels. Based on our understanding of the developmental trajectories of individuals with disabilities, our goal is to develop multisystem, engaging, evidence-based, behavioural interventions and assistive technologies to empower the lives of people with disabilities.

At present, the lab has 4 ongoing research projects – (1) exploring the utility and efficacy of using playful joystick-operated ride-on-toys to promote upper extremity function and spontaneous use in children with hemiplegic Cerebral Palsy both in a camp setting and as a home-based program. Specifically, we are also interested in comparing the efficacy of single versus dual joystick ride-on-toy navigation training in improving uni- and bimanual function in children with hemiplegic CP, (2) assessing the ability of healthy neurotypical children to drive joystick-operated ride-on-toys using their non-dominant side, (3) assessing physical activity and physical fitness levels in adolescents and young adults with developmental disabilities compared to age-matched typically developing peers and understanding factors at the personal and environmental levels that influence physical activity engagement in young adults with disabilities, and (4) assessing the effects of a novel, icon-driven Augmentative and Alternative Communication (AAC) device on social communication and behavioral skills of children with Autism Spectrum Disorder using a longitudinal study design.

We specifically need help with projects (1) and (2) listed above in terms of recruitment efforts, data collection, and data analyses.

Student Qualifications
We are looking for passionate, energetic, and empathetic undergraduate students interested in working on projects involving infants, children, and adults with disabilities. Students can pursue research at the lab for credit, for work study, and with the potential of converting a subset of the research into an honor’s thesis.

Students are required to commit to pursuing research in the lab for at least 2-3 semesters in order for the experience to be meaningful for students. Students are required to complete CITI training given that our research is with human subjects (details will be provided by the study PI). Students from diverse backgrounds including but not limited to psychology, physiology and neurobiology, biology, exercise science, communication sciences, allied health, and education are encouraged to apply.

How to Apply
Interested students should contact Dr. Sudha Srinivasan at sudha.srinivasan@uconn.edu via email. Please attach your resume/CV and unofficial transcript to the email.

Mentor: Sudha Srinivasan, Assistant Professor
Department: Kinesiology (Physical Therapy)
Email: sudha.srinivasan@uconn.edu
Timing: Fall 2022, Spring 2023, Summer 2023
Campus: Storrs

• Research Assistant in Lab Exploring Outcomes After Pediatric Critical Illness

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Opportunity Description
Dr. Perry-Eaddy is focused on understanding outcomes in children after critical illness. Namely, she is interested in understanding the underlying biological mechanisms that may increase a child’s risk of poor recovery, such as hyper-inflammation. This position will include assisting in the start-up of a study of critically ill children who survive the Pediatric Intensive Care Unit (PICU). The student research assistant will aid in conducting literature reviews, analyzing literature, preparing grants, IRB submissions etc. Additionally the student will aid in the development of research data collection tools, as well as preparation of sample collection kits. The student will learn the essentials of launching a clinical research study. There may be opportunities for the student to have unique opportunities such as writing/publishing a manuscript or poster presentation, answering a research question with existing data, and applying for internal grant funding.

There is a potential opportunity to receive honors course credit, which would be discussed with student and major advisor in advance.

A list of potential tasks the student may perform include the following:
-Conduct literature searches
-Extract information from sources
-Organize and classify data
-Proofread and edit data collection forms in REDcap
-Test data collection forms prior to going live with clinical subjects
-Create sample collection kits
-Assist in maintaining REDcap database
-Look up and check references
-Tabulate and analyze data

Student Qualifications
Required:
-Be an undergraduate student in the Honors Program
-Be able to operate computer, phone, and/or other research equipment
-Have strong communication skills (verbal and written)
-Be able to maintain confidentiality

Preferred:
-While not required, students with interest in clinical and/or translational research are best suited for this position. Especially those enrolled in health-related programs (i.e. nursing, pre-med, allied health, pharmacy, etc.).
-Prior research experience, including literature reviews and/or completion of W-level coursework is strongly encouraged.
-Knowledge of REDcap database is preferred, though not required.

How to Apply
If interested, please submit your resume and cover letter to Dr. Perry-Eaddy (mallory.perry@uconn.edu), addressing your interest in pediatric critical care clinical and/or translational research, and what you hope to gain from the experience.

Mentor: Dr. Mallory Perry-Eaddy, Assistant Professor
Department: Nursing
Email: mallory.perry@uconn.edu
Timing: Ongoing
Campus: Storrs

• Research Assistant in Transportation Engineering

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Opportunity Description

Dr. Monika Filipovska’s research group seeks research assistants for a few research projects focusing on advancements in transportation research, including intelligent transportation systems and IoT, mobility on demand, and modeling of autonomous vehicles. Depending on the student’s skills, they may work on tasks involving data cleaning and pre-processing, database management, use of GIS software for pre-analysis, running numerical experiments using programming software, or assistance with the use of driving simulation equipment and software.

Through this experience, students will learn about new advancements in the field of transportation engineering, including new mobility services and vehicle or infrastructure technologies. Students will have the opportunity strengthen their coding and data analysis skills, and learn new skills related to the use of traffic and driving simulation software. Students will be expected to participate in research meetings and work collaboratively with other undergraduate or graduate assistants. The students will have the opportunity to receive additional mentoring from graduate students, postdoctoral associates, and other research staff they may work with.

Depending on the progress and skills of specific students, and for how long they are available to work in the research group, students may have the opportunity to also contribute to data analysis and writing, and build their research, analytical and writing skills.

This is a paid opportunity, at the Class II assistant level ($13.15/hour to $14.35/hour) according to JobX classification.

Students may have the opportunity to continue working on related topics through independent study or directed research credits in the upcoming semesters if they are interested.

Student Qualifications
At minimum the applicants should have:
· Interest in research related to transportation systems
· Ability to follow direction
· Ability to work independently and as part of a team
· Strong quantitative skills

Applicants should have some combination of the following:
· Proficiency in Excel
· Data cleaning, organizing, pre-processing, and formatting skills
· Programming using Python, MATLAB and/or R
· Strong background in statistical analysis, math, or computer science
· SQL server and database management experience
· Working knowledge or experience with ArcGIS Pro

Please note that each applicant need only have some of these skills. This list would be the combined set of skills of multiple hired students.

How to Apply
This opportunity is advertised via JobX with the Job ID 12861. Please submit your applications there. Applications should include: a short resume, a description of any experience related to this job, a brief summary of any unique skills, qualifications or interests relevant to this job.
Please also share your availability (summer / semester and hours), and what you hope to gain from this experience.

Mentor: Monika Filipovska, Assistant Professor
Department: Civil and Environmental Engineering
Email: monika.filipovska@uconn.edu
Timing: Summer 2022, Ongoing
Campus: Storrs

Research Assistant in the Hoeft BRAINLens Laboratory

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Opportunity Description

Part-time research opportunity to contribute to the study of effects of toxicants and teratogens on perinatal neurodevelopment!

Seeking motivated undergraduate research assistants who are available to work an average of 9 hours per week (fully remote) to contribute to an exciting project on the effects of toxicants and teratogens on perinatal neurodevelopment and subsequent achievement in reading and mathematics. This is a project of the Hoeft BRAINLens Laboratory. The research group includes scientists from the University of Connecticut and the University of California San Francisco.

Responsibilities on this project will include working with Deborah Schneider (UCONN postdoc) and Florence Bouhali (UCSF postdoc) to complete a systematic search of research papers at the intersection of brain imaging and the effects of toxicants and teratogens on perinatal neurodevelopment. Thus, the work will involve:
• Filtering through abstracts and full text articles to select relevant papers
• Documenting reasons why articles are excluded
• Coding papers for key variables such as sample characteristics, brain imaging measures, study quality, etc.
• Conferencing with subgroup team to make decisions on articles
• Assembling tables and documents to keep track of the search process

Prior familiarity with neuroscience, cognitive science, and related fields is preferred but not required. Please contact deborah.schneider-richardson@uconn.edu if interested.

This is a volunteer position. Course credit (PSYC 3889 [Undergraduate Research]) will be offered in lieu of other compensation.

Student Qualifications
Applicants must be in their junior or senior year. Prior familiarity with neuroscience, cognitive science, and/or related fields is preferred but not required.

How to Apply
Please contact deborah.schneider-richardson@uconn.edu if interested.

Mentor: Deborah Schneider, Postdoctoral Researcher
Department: Hoeft BRAINLens Laboratory
Email: deborah.schneider-richardson@uconn.edu
Timing: Spring 2022
Campus: Full remote opportunity

Research Assistant in Global Environmental Remote Sensing in the GERS Lab

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Opportunity Description

This research project investigates using satellite images for mapping global environmental change, climate change, and sustainability. We will use dense time series of satellite data acquired during day and night time to monitoring, assessment, and projecting landscape change at large scales. More information regarding the GERS Laboratory can be found at this link: https://gerslab.uconn.edu/

We work together with concepts from environmental science, machining learning, climate change, remote sensing, and image processing within a rich interdisciplinary field. We have several projects all focused on mapping and characterizing land change at a continental or global scale. Our lab works closely with scientists from USGS and NASA. As an undergraduate research assistant, you would aid primarily in image interpretation, as well as potentially develop algorithms for Earth observation.

You are expected to receive training to use a high-performance computing facility to process satellite data, aided by a graduate student/postdoc researcher mentor. Once you have gained the knowledge in using remote sensing data, you will be able to collect satellite data in your own interest area and apply remote sensing techniques to extract useful information. The time commitment is flexible and is minimal for a semester (renewal for the future semesters is possible and encouraged). The assistantship will start in the summer of 2021 and going forward. RAs will receive research course credits and authorship (if published) as compensation for the work.

Student Qualifications
Preferred Qualifications (but not limited to):
– Basic knowledge of remote sensing and use of satellite data (e.g., have taken the NRE Remote Sensing of Environment course)
– Experience with programming languages (Matlab, R, Python, or others).
– Strong interest in find answers to big science questions.

How to Apply
Please email zhe@uconn.edu and include a brief description of why you are applying for this position and a resume. Strong applicants will go through a virtual or face-to-face interview with the faculty.

Mentor: Zhe Zhu, Assistant Professor
Department: Natural Resources and the Environment
Email: zhe@uconn.edu
Timing: Summer 2021, Fall 2021, Spring 2022, Ongoing
Campus: Storrs