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.
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 email@example.com 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
Timing: Summer 2021, Fall 2021, Spring 2022, Ongoing
Preclinical research in cancer therapeutics. Our lab in collaboration with with a small biotech company pioneered the use of high-Z nanoparticles to enhance radiation therapy of cancers–with a special emphasis on brain cancers–both primary gliomas and metastatic brain tumors. Our original work was done with gold nanoparticles. We are currently working with iodine nanoparticles. Full-time summer research and 9 hrs/week course research in fall and spring are available.
Please go to our Cell Biology web site to see a short description of our lab’s interests and most of our publications since 2000. The attached link is a virtual talk I gave at the most recent Society for NeuroOncology meeting. https://www.dropbox.com/s/hrxqzdsf3hqngno/Henery%2011.01.2020.mp4?dl=0
If you think you might have interest in our lab, e-mail firstname.lastname@example.org and I can discuss specific projects. Many of the students who intern in our lab publish with us as co-authors.
Looking for responsible, very talented students with strong performance in STEM and strong work ethic.
Prefer students interested in a career in medicine (getting MD) or research (getting PhD)
Prefer rising seniors who wish to pursue a senior thesis, but open to rising juniors and sophomores.
Prefer previous lab experience, but open to students that have had course lab experience
Prefer students who are facile with instrumentation and have good computer skills.
Prefer students who are open to working with lab animals.
How to Apply
Please forward the following items to Dr. Smilowitz via email to email@example.com.
3. Personal letter with interests, motivations, long-term goals and availability for this research experience
4. At least one letter of recommendation from someone who knows you well
Mentor: Henry Smilowitz, Associate Professor
Department: Cell Biology
Timing: Ongoing – provisionally available for Spring 2021 (will depend on Covid situation)
Campus: UConn Health (Farmington)
Our group specializes in molecular modeling & simulation to study biomaterials, biomechanics and biophysical processes associated with the body’s function in health and disease. We are always interested in mentoring self-motivated undergraduate students from diverse backgrounds. Multiple projects are available depending on student interest and fit.
More details on the projects can be found at: http://me.engr.uconn.edu/wp-content/uploads/2018/08/F18-REU-Anna-Tarakanova.pdf
The student will gain experience in molecular model development, atomistic modeling, coarse-graining approaches, molecular simulation setup and implementation on supercomputers, molecular visualization software, MATLAB/Python scripting, and scientific writing. The student will have a chance to participate in a collaborative project, and if successful, contribute to a scientific publication.
Research activities may include:
– Read and summarize related literature
– Build and iterate molecular models
– Perform simulations on computing cluster
– Post-process data
– Visualize and analyze data
– Meet weekly with faculty member
Commitment: 10 hours/week, including a weekly meeting with faculty member
Course credit available.
Helpful experience for all projects: Familiarity with scripting in the Linux environment, molecular modeling with molecular-dynamics-based approaches, experience with Python/MATLAB.
Preferred coursework: Differential Equations/Linear Algebra, Physics I: Mechanics/Statistical Physics, Biochemistry.
How to Apply
Interested students should email a resume/CV and a brief cover letter to firstname.lastname@example.org indicating why they are interested in this research opportunity. Please indicate whether you are interested in the Fall semester or both Fall & Spring.
Mentor: Anna Tarakanova, Assistant Professor
Department: Mechanical Engineering
Timing: Fall 2018, Spring 2019
We are seeking motivated, fluid undergraduate research assistants to assist in data collection for an MRI brain study of parent-offspring similarities in language, reading, and math. Gain valuable experience and methodological skills while helping to understand how language is processed in the brain. Research assistants should commit to 6-9 hrs/week (2-3 PSYC 3889 credits) for Fall 2018-Spring 2019.
– Excellent communication and interpersonal skills
– Availability to assist in weekend data collection
– Experience working with children age 8-11
How to Apply
Email email@example.com with a CV/resume. Include any relevant coursework, skills or experience, and a short statement of why the position interests you.
Mentor: Roeland Hancock, Assistant Professor
Department: Psychological Sciences
Timing: Fall 2018-Spring 2019
Depending on previous experience and interest, students will assist with ongoing research projects including but not limited to identifying and optimizing natural and novel means of controlling pathogens in cheese. These include the use of GRAS antimicrobials (e.g. hydrogen peroxide, lauric arginate ethyl ester, polylysine, and acidified calcium sulfate), protective cultures of lactic acid bacteria, and modified atmosphere packaging to enhance the shelf life and safety of dairy products. When taken for credit (independent study/undergraduate research), time commitments can range from 3-15 hours per week. Duration can be short as a single semester or renewed for multiple semesters. Depending on the individual, the opportunity is also available during the semester breaks. This opportunity is not a paid position.
We are looking for someone with an interest in dairy science, food science, and/or microbiology.
Coursework in microbiology and/or previous lab experience are preferred.
How to Apply
Email Dr. D’Amico (firstname.lastname@example.org) explaining your interest. There is no deadline.
Mentor: Dennis D’Amico, Assistant Professor
Department: Animal Science
Patient outcomes research in clinical medicine utilizing large nationwide databases to investigate clinical questions related to liver disease and liver transplant. This is an opportunity for prospective students interested in being involved in biomedical research with the goal of learning and manipulating large medical databases. With the guidance of the mentor and statistical assistance, the prospective candidate will have the opportunity to participate in a research project in medicine. With the mentor, the student will develop a clinical question which can answered with the appropriate database, and gain experience proposing a hypothesis, working with statistical team, interpreting the results, and formulating conclusions from the results. There will be weekly meeting with the mentor and opportunity to have exposure to a clinical environment for those students interested to pursue careers in medicine. Work is primarily done independently with guidance, thus no specific number of hours per week commitment. One of the objectives of the project would be to allow the student to present his or her findings in a poster or oral presentation format at national meetings and eventual publication. This is currently a nonfunded volunteer position. The time commitment is variable depending on student’s proficency handling large databases.
Comfortable using excel database, be able to work independently, ability to perform online pubmed research to gather background literature on the topic, understand basic statistics
How to Apply
Please contact mentor directly;
Provide resume and letter of interest
Mentor: Raffi Karagozian, MD, Clinical Assistant Professor of Medicine
Department: Gastroenterology & Hepatology
Campus: UConn Health
Community-Based Participatory Research in Obesity Prevention – This 5-credit course is intended to be taken as part of a year-long sequence; part II will be offered in Spring 2015.
This course provides a unique opportunity to study a complex health problem – obesity – from a social ecological perspective and to work with community partners to assist in the development, implementation, and evaluation of a statewide obesity prevention campaign using community-based participatory research methodology. Lectures focus on current obesity trends, causal factors of excessive weight, and the consequences of obesity. Community-based participatory research skills include focus groups, interviews, and environmental audits to develop an obesity prevention program that meets the needs of a diverse population. This is a unique learning opportunity that will allow students to work with a national health care consulting firm and a statewide media company to develop and test an obesity prevention program. To learn more about this research and how the course will fulfill Plan of Study requirements, please see: http://undergrad.psych.uconn.edu/2014/07/15/psyc-3885/ or contact Dr. Amy Gorin at email@example.com.
Interest in applied research, nutrition, physical activity, and health behavior change.
How to Apply
Please contact Dr. Amy Gorin at firstname.lastname@example.org as soon as possible to receive a permission number to register.
Mentor: Amy Gorin, Associate Professor
Timing: Fall 2014, Spring 2015