For more information, please click on the poster below.
Graduate Student Call for Applications:
Dr. Radenka Maric Graduate Fellowship
The Graduate School is sponsoring a new set of fellowships this year. Dr. Radenka Maric Fellowships seek to develop a cohort of students who are looking for connections beyond what they can find in their own department. Ten fellowships will be awarded across the university, with one fellow selected from among the Departments and Programs of the College of Liberal Arts and Sciences. In addition to a $3,000 stipend, fellowship recipients will be invited to meet together for social, roundtable, and professional development meetings.
To be eligible for a Maric Fellowship, you must
- Be a masters or doctoral student enrolled in The Graduate School
- Demonstrate financial need or be meritorious
In selecting a student for a Maric Fellowship, priority will be given to students who:
- Have overcome obstacles such as socioeconomic or educational disadvantage; or,
- Are members of groups that are underrepresented at the University of Connecticut; or,
- Have experience living or working in diverse environments.
This is a non-endowed fellowship. It may be renewed annually pending availability of funds and provided that the Fellow continues to meet the criteria above and that the Fellow has participated in activities that The Graduate School organizes for Fellows.
Graduate Students interested in applying for the fellowship should provide the following information:
1. A brief summary of financial need and/or accomplishments as a UConn graduate student
2. A short essay addressing the extent to which you satisfy one or more of the three priority criteria listed above. In the essay, also address how you would benefit from being a part of a supportive cohort.
3. A letter of support from your graduate advisor or a professor who can speak to your graduate performance at UConn.
Please submit your application to CLAS@uconn.edu no later than 4pm, October 21.
Requirements: Candidates must have a Ph.D in Psychology, Neuroscience, Cognitive Science, Computer Science or a related field, or they must have completed the Ph.D by the time of appointment. Other requirements include: prior experience in fMRI and sMRI data acquisition and analyses, strong scientific record (including high quality dissertation, publications in peer-reviewed journals), research interests in neurobiology of cognitive functions, advanced statistical knowledge, extensive experience in planning and conducting experiments in cognitive psychology and cognitive neuroscience, fluency in English, and a documented ability to work well both independently and in a team. Prior experience in fMRI technique is strongly preferred. Strong statistical and programming skills (including knowledge of Unix commands) is a plus.
Applications should include: 1) a CV (with min. 3 reference contacts and a publication record); 2) a cover letter with a statement of research experience, interests and the motivation to contribute to the project; 3) a copy of the diploma or statement about the dissertation progress and a planned date of its completion (signed by the Ph.D. supervisor); 4) pdfs of two most important publications.
All applications should be sent by October 7th, 2019 to Dr. Zofia Wodniecka at email@example.com.
- ‘animal’ vs. ‘reflective’ human knowledge
- theoretical knowledge that vs. practical knowledge how
- knowledge who, what, where …
- knowledge of other minds (incl. ‘theory’-theory vs. simulation theory vs. …)
- ‘minimal’ knowledge (as merely true belief)
- the acquisition and development of epistemic notions and competence
- observational vs. inferential; perceptual knowledge
- ethical, mathematical, religious, … knowledge – knowledge by description vs. knowledge by acquaintance
- knowing vs. ‘cognizing’* (*Chomsky’s term for speakers’ cognitive relation to the rules of their language)
- empirical vs. conceptual knowledge, a posteriori vs. a priori knowledge
- animal knowledge of ‘affordances’
- ‘immediate’ vs. inferential vs. testimonial knowledge
We invite abstracts – 500-1,000 words, excluding references – of short papers, suitable for a 30-35-min presentation, by graduate students and postdocs. The papers should be relatively accessible to an interdisciplinary audience and avoid overly technical discussion of ‘in-house’ issues in epistemology.
Abstracts should be ready for blind review and include the title of the paper; they should make clear both the topic and the main arguments of the paper. Please send a separate cover sheet with the title of the paper, author’s name, affiliation (if any), and contact information.1
Abstracts+cover sheets should be sent to Aliyar Ozercan firstname.lastname@example.org by October 5 (midnight). Notifications of acceptance will be sent no later than October 10. Authors of accepted papers will be asked to send a draft of their full paper by November 5th.
1 Note: We will be trying to obtain funds to provide modest support for those who need it. Please indicate on the cover sheet whether you have no available funding source to support your travel. Meals while at the conference will be provided. In addition, UConn graduate students will attempt to help contributors find suitable accommodations.
We are happy to announce the fifth year of the undergraduate research grant program that is being run by the Connecticut Institute for Brain and Cognitive Sciences (IBACS).
Fall 2019 UNDERGRADUATE RESEARCH GRANT PROGRAM ANNOUNCEMENT:
The application is now open and the deadline will be 11:59 pm on Monday, October 11, 2019. The application process is being conducted in concert with the Office of Undergraduate Research (OUR). It is expected that applicants will be conducting research with IBACS faculty members, focusing on any research area associated with the IBACS mission. Faculty sponsors will need to supply a letter of recommendation. Applicants must fill out the online application, and also submit via the online application, a relatively short research plan (maximum of 6,000 characters, approximately 3 pages) and a budget that explains in detail how the funds will be spent. The application link and faculty recommendation link are listed below. It is recommended that the student first compose the research plan and budget using a word processing program, and then upload the final versions on to the website.
IBACS Fall 2019 application – https://uconn.co1.qualtrics.com/jfe/form/SV_bsjpFFwMySHv7OB
IBACS Faculty Recommendation – https://ugradresearch.uconn.edu/ibacs-faculty-form/
THIS PROGRAM IS NOT MEANT TO PROVIDE DIRECT FINANCIAL SUPPORT TO STUDENTS. Instead, it is meant to provide support for the research. The account will be set up with the faculty sponsor after the award is given. It is expected that there will be five awards of up to $1,000. The funding is meant to defray the research-related costs such as materials & supplies, minor equipment, software, animal or participant-related costs. The budget should reflect these expenditures.
Please remember that there will be Spring and Summer 2020 rounds as well. The same student cannot apply for both the Fall and Spring grants, but a recipient of a Fall or Spring grant is eligible for the Summer research grant program, provided that they are still a UCONN student at the time.
Remote access: https://yale.zoom.us/my/haskins
Dr. Michael T. Ullman
Professor, Departments of Neuroscience, Psychology, Linguistics and Neurology
Georgetown University, Washington, DC
“Language learning relies on brain circuits that predate humans: Evidence from typical and atypical language development”
ABSTRACT: Increasing evidence suggests that language learning depends importantly on general-purpose learning circuits that pre-existed humans. In particular, research indicates that children learn native languages and adults learn additional languages in evolutionarily ancient circuits that are found in other vertebrates, and are used for a wide range of tasks. For example, birds rely on this circuitry to remember where they stored their hidden acorns, while rats use it to follow rule-governed grooming sequences. Converging evidence from psycholinguistic, neurological, neuroimaging, and electrophysiological studies suggests that humans also rely on these declarative and procedural learning systems for their lexical (word) and grammatical (rule-governed combination) abilities, in specific ways in both first and second language. Newer evidence also suggests that aspects of reading and math may be learned in these systems. Moreover, abnormalities in or compensation by these systems can help explain atypical language and other functions, for example in developmental language disorder and dyslexia. The research has implications not only for understanding the biology and evolution of language and how it is learned, but also for how language learning can be improved, both for people learning a second language and for those with developmental and other disorders.
Dr. Ullman is Professor in the Department of Neuroscience at Georgetown University, with secondary appointments in the Departments of Neurology, Linguistics and Psychology. He is Director of the Brain and Language Laboratory and the Georgetown EEG/ERP Lab. He teaches undergraduate, masters, PhD, and medical students. His research examines the neurocognition of first and second language, math, reading, and memory; how these domains are affected in various disorders (e.g., autism, dyslexia, developmental language disorder, Alzheimer’s, Parkinson’s and Huntington’s diseases); and how they may be modulated by factors such as genetic variability, sex, handedness, and aging.
Haskins Staff talks take place at 12:30 pm on Thursday’s in the Main Conference Room (#110)
at Haskins Laboratories 300 George Street, Suite 900 New Haven, CT http://www.haskinslabs.org/
Post-doctoral fellow position(s) to the study of the natural visual environments of infants and young children and their implications for visual, cognitive and language development and machine learning at Indiana University. The larger collaborative project involves analyses of the properties of a very large corpus of head camera images (500 million) collected by infants 1 to 24 months of age with respect to low, mid and higher level properties, the examination of the statistical structure of early learned visual categories (and their in-home naming by parents), the design and implementation of computational experiments using machine learning and computer vision models, as well as experiments with infants testing novel predictions from these analyses and models. The post-doctoral fellow(s) will take part in the intellectually rich cognitive science, computational neuroscience, vision, developmental, and computer science communities at Indiana University under the Emerging Areas of Research Initiative titled Learning: Brains, Machines and Children. Collaborators on the larger project include Linda Smith, David Crandall, Franco Pestilli, Rowan Candy, Jason Gold, and Chen Yu.
This is an excellent opportunity for individuals with past training in one or more of the following: infant statistical learning, infant visual development (including face and object perception), visual neuroscience, adult vision, computer vision. Other areas of training with computational and/or experimental backgrounds will be considered.
Please apply to Linda Smith, email@example.com, with Visual Environments in the subject heading by sending a cover letter stating your interest in this project, your cv, and a research statement. References will be requested after initial contact.
The filling of these position(s) are open in their timing; although we hope to appoint one position this fall, January or this spring are also possible start dates.
Psychological and Brain Sciences
1101 East 10th Street
Bloomington IN 47405
We are happy to announce the fifth year of the undergraduate research fellowship program that is being run by the Connecticut Institute for Brain and Cognitive Sciences (IBACS).
Fall 2019 UNDERGRADUATE RESEARCH PROGRAM ANNOUNCEMENT:
The opening date for submission of applications will be Monday, September 23, 2019, and the deadline will be 11:59 pm on Monday, October 11, 2019. The application process is being conducted in concert with the Office of Undergraduate Research (OUR). It is expected that applicants will be conducting research with IBACS faculty members, focusing on any research area associated with the IBACS mission. Faculty sponsors will need to supply a letter of recommendation. Applicants must fill out the online application, and also submit via the online application, a relatively short research plan (maximum of 6,000 characters, approximately 3 pages) and a budget that explains in detail how the funds will be spent. The application link and faculty recommendation link are listed below. It is recommended that the student first compose the research plan and budget using a word processing program, and then upload the final versions on to the website. Links for uploading the applications and faculty recommendations will be provided in the next announcement.
IBACS Fall 2019 application – Will become available on 9/23/19
IBACS Faculty Recommendation –Will become available on 9/23/19
THIS PROGRAM IS NOT MEANT TO PROVIDE DIRECT FINANCIAL SUPPORT TO STUDENTS. Instead, it is meant to provide support for the research. The account will be set up with the faculty sponsor after the award is given. The award will be for up to $1,000. The funding is meant to defray the research-related costs such as materials & supplies, minor equipment, software, animal or participant-related costs. The budget should reflect these expenditures.
Also, please remember that there will be Spring and Summer 2020 grants as well. The same student cannot apply for both the Fall and Spring grants, but a recipient of a Fall or Spring grant is eligible for the Summer grant program, provided that they are still a UCONN student at the time.
This annual event brings together the neuroscience community at UConn from across diverse departments and schools including the departments of Physiology and Neurobiology, Psychological Sciences, Neuroscience (UCHC), Biomedical Engineering, Pharmaceutical Sciences, Electrical and Computer Engineering and The Connecticut Institute for the Brain and Cognitive Sciences.
As our Keynote Speaker this year, we are lucky to host Dr. Marina Picciotto, the Charles B. G. Murphy Professor of Psychiatry at Yale School of Medicine and Editor-in-Chief of the Journal of Neuroscience.
In addition, we will be holding a data blitz (short-format podium presentation), poster session and reception. Students and postdoctoral fellows are enthusiastically encouraged to participate in the poster and data blitz presentations (with prizes!). Further details and sign-ups to follow.
Please share this invitation with faculty members, students, postdoctoral fellows and scholars in your Department/Institute. Further details, along with a poster to distribute, will follow later in the month.
For general inquiries about the event, please contact Dr. Alex Jackson (firstname.lastname@example.org) in the Dept. of Physiology and Neurobiology.
We look forward to your participation!
Alexander C. Jackson, PhD
Department of Physiology and Neurobiology
University of Connecticut
Torrey Life Science, Rm 115
Storrs, CT, 06269
The Connecticut Institute for the Brain and Cognitive Sciences (CT IBACS) is pleased to announce a new call for applications to its seed grant fund. Full details (and forms for the required letter of intent) can be found on the Institute website.
The seed fund is intended to fund activities in the Brain and Cognitive Sciences (broadly construed) that are likely to lead to applications for external funding, or which otherwise contribute to the mission of the Institute. Successful applications will typically involve collaborations that require expertise across laboratories and traditional disciplinary boundaries. The Institute does not usually fund research that might normally be considered to fall within the scope of a single lab or discipline.
Applications for small grants (<$10,000) can be submitted at any time; applications in excess of $10,000 should be submitted by October 1st.
Please submit letters of intent as soon as possible, and at least 2 weeks prior to the seed grant application deadline, to allow time for review and feedback.
The Institute also invites applications for affiliate memberships.