Industry Job Opening – Cognitive Data Scientist
Kairos Research (https://kairosresearch.com) is a young and dynamic company based in Dayton, OH, conducting research at the intersection of human and machine cognition. We currently have an opening for a full-time Cognitive Data Scientist to help execute and grow our expanding portfolio of government-sponsored research in the human sciences. The Cognitive Data Scientist will play a major role in supporting our human performance data modeling and data analytics efforts with the Air Force Research Laboratory, as well as other projects that involve extracting insights from a wide variety of physiological and cognitive datasets (ranging from wearable sensors data to cognitive and behavioral performance data).
The ideal candidate is a highly creative, self-motivated individual who possesses a deep understanding of leading-edge techniques in data science, statistical modeling, and/or machine learning. Candidates who have experience working with hidden Markov models (HMMs) – in particular, experience using HMMs to model a user’s cognitive state (e.g., workload, fatigue, stress, attention) – are especially of interest. The candidate should also possess a strong publication record and a willingness and ability to seek independent research funding. Additionally, because Kairos is a small company with a highly collaborative work culture, we especially seek candidates who are outgoing and enjoy interacting with their colleagues and with our government sponsors.
Other recent Kairos projects span topics such as explainable AI, trust in automation, human-robot interaction, the cognitive science of intelligence analysis, and the identification and tracking of influence narratives on social media. In addition to the Air Force, our current and past sponsors include organizations such as DARPA, IARPA, the Office of Naval Research, the Army SBIR Program, the National Institutes of Health, and Special Operations Command. [Note that prior experience working on projects funded by the Department of Defense (DoD) and/or related to national security is a strong plus but is not required for this position.]
NOTE: This is a great opportunity for an academic research scientist who is seeking a career change but who wants to continue pursuing original research!
JOB LOCATION: Dayton, OH
REQUIRED:
1. US citizenship or green card.
2. PhD in Cognitive Science, Computer Science, Engineering, Psychology, Neuroscience, Social-Behavioral Sciences, Human Factors, or related discipline (the specific field of study is less important than the candidate’s experience and skills).
3. Experience with advanced regression techniques, including hierarchical models, nonlinear models, multivariate (i.e., multiple outcomes) models, mixture models, and ensemble models—all in the context of a variety of outcome types (e.g., binary choices, Likert ratings, response times, etc.).
4. 3+ years research experience (includes postdoctoral research).
5. Excellent written and oral presentation skills.
6. A highly collaborative mindset.
PREFERRED:
1. Familiarity and experience with methods for analyzing noisy, high-dimensional data, including various dimensionality reduction methods (PCA, t-SNE, etc.).
2. Familiarity with contemporary machine learning techniques, including deep neural networks, especially as applied to natural language processing.
3. Experience leading and/or contributing substantially to successful research proposals (need not be defense-related; could include NSF, NIH, etc.).
CONTACT:
Interested candidates should email their CV/resume to Dr. Louis Marti (louis@kairosresearch.com) cc: techadmin@kairosresearch.com
[COGDEVSOC] Research Coordinator Opportunities in Connecticut
Research Coordinator, Connecticut Project
The TMW Center for Early Learning + Public Health (TMW Center) develops science-based interventions, tools, and technologies to help parents and caregivers interact with young children in ways that maximize brain development. A rich language environment is critical to healthy brain development, however few tools exist to measure the quality or quantity of these environments. Access to this type of data allows caregivers to enhance interactions in real-time and gives policy-makers insight in how to best build policies that have a population-level impact.
Job Summary
The Research Coordinator will report to the Senior Project Manager and shall provide on-the-ground coordination, implementation, and research support. The Research Coordinator will work closely with Connecticut-based infant and toddler childcare providers and TMW Center research and curriculum staff. The Research Coordinator shall be responsible for recruiting and consenting study participants, providing regular implementation and technical support to study participants, data collection, and operational and logistical coordination of various study activities.
As a primary on-the-ground point of contact for study participants, the Research Coordinator shall build positive relationships with childcare centers, classroom teachers, families and OEC staff to ensure strong communication and a successful research partnership with the TMW Center.
Responsibilities
Participant Outreach, Recruitment & Data Collection:
- Serves as a primary point of contact for current and future research study participants.
- At the direction of TMW staff, conducts targeted outreach and recruitment to study participants (child care sites, early educators, parents, etc.). Organizes and coordinates recruitment activities, in collaboration with TMW staff.
- Obtains and maintains consents for all program participants in accordance with IRB protocol and TMW research standards.
- Ensures ongoing and new research subjects are on-boarded properly.
- Regularly reports updates on participant recruitment, study progress, and study completion to relevant parties.
- Partners with TMW Center staff members and other stakeholders to ensure current and upcoming studies have adequate amounts of participants.
- Collaborates actively with TMW Center staff members and external stakeholders to strategize approaches for pursuing new participants and partners.
- Maintains regular contact with study participants, updating them on study progress and ensuring that their contact information is updated on a routine basis. Maintains records of all communication efforts with participants.
- Implements data collection at the direction of TMW Center staff. Ensures quality of data collection and adherence to best practices.
- Supports TMW Center researchers with other aspects of outreach, recruitment, consent, data collection and support as requested.
Implementation & Participant Support:
- Under the direction of TMW staff, implements the TMW Center’s ECE professional development strategy and novel technology within study sites (childcare and early education classroom settings) and provides ongoing support for implementing teachers and site leadership.
- In coordination with and under the direction of TMW staff, provides implementation support, coaching, and training to study participants, ensuring that study activities are delivered with fidelity and that technical support is available promptly. This includes but is not limited to: regularly visiting study sites across Connecticut for routine in-person check-ins; providing technical assistance, troubleshooting and on-call technical and implementation support to study participants (including outside of business hours, as needed); ensuring proper implementation and delivery of TMW program in accordance with study protocol; tracking data related to these processes and other aspects of implementation; supporting TMW Manager of Training and other TMW staff by coordinating and/or facilitating training sessions and regular meetings for implementing staff.
Research Support:
- With other TMW teams, helps coordinate and implement formative testing, early pilots and research studies in partner sites.
- With other TMW teams, engages with study participants and other partners to collect data and gather user feedback to inform device optimization, program refinement, professional development model and implementation model.
- Supports implementing staff within study sites (childcare and early education classroom settings).
- Facilitates and coordinates video recording, data collection and other classroom-based research activities, as needed, under the direction of TMW’s Research team.
- Issues payments and other incentives to study participants. Ensures all payments are issued correctly and tracked with fidelity. Ensures full compliance with all University and funder obligations related to human subject payments and recordkeeping.
- Distributes technology and assists with inventory management, coordination and delivery logistics for technological devices and other materials provided to study sites.
Partnership Building:
- Builds and nurtures relationships with child care centers, classroom teachers, families, OEC staff and other stakeholders to ensure strong communication and ultimate success between the TMW Center and these individuals and groups.
- Helps identify additional childcare providers or organizations that could serve as future research partners.
- Serves as an ambassador of the TMW Center’s mission and resources to partners, families/caregivers, and the public.
Project Support:
- Provides technical, administrative and logistical support to the Connecticut early childhood research project team.
- Participates in meetings and planning sessions with TMW staff to share implementation observations and provide updates to inform program and process improvement.
Other Responsibilities:
- Maintains technical and administrative support for a research project.
- Installs, sets up and performs experiments; interacting with students and other laboratory staff under the direction of the principal investigator.
- Maintains recruiting and scheduling research subjects; assisting with developing or amending study protocols; assisting with developing data collection tools; assisting with building databases; and providing general administrative support. Has general awareness in research techniques or methods, regulatory policies and procedures, and relevant scientific field.
- Performs other related work as needed
11/10 COGS & SLHS Colloquium: Dr. Samuel Mathias
The Cognitive Science Program and the Speech, Language, and Hearing Sciences Department are co-hosting a talk on 11/10!
Speaker: Dr. Samuel Mathias, Professor of Psychology from the Department of Psychiatry at the Harvard Medical School
Time & Location: 4PM, Friday November 10, 2023, in McHugh Hall Room 206
Talk Title: “Genetic and environmental influences on hearing, cocktail-party listening, and cognition”
Abstract: Everyday hearing requires solving the cocktail-party problem, or segregating and attending to the relevant parts of complex auditory scenes. There are huge individual differences in cocktail-party listening abilities. People with clinical hearing loss generally struggle with cocktail-party listening due to impaired basic auditory sensitivity; however, others experience similar difficulties despite having “normal” sensitivity. Conventional wisdom says that such individual differences are due to a combination of genetic and environmental factors, although the specific factors and their relative weights are poorly understood. This talk will describe preliminary work and future plans to identify specific genetic and environmental factors influencing hearing abilities, including basic auditory sensitivity and cocktail-party listening. We will also discuss how these abilities relate to cognition, with a view towards leveraging these relationships to better understand the distinct and shared etiologies of presbycusis, cognitive decline, and dementia.
Meetings: If you are interested in meeting with Dr. Mathias during the day before his talk or in dinner on Friday evening, please email Crystal: crystal.mills@uconn.edu. Thank you!
Two COGS Undergraduate Course Offerings in Fall 2023
We are pleased to announce TWO undergraduate course offerings from The Cognitive Science Program in Fall 2023. Seats are filling up quickly so sign up soon!
Coding for Cognitive Science
Course Name: COGS 2500Q: Coding for Cognitive Science
Days and times: Tuesdays & Thursdays from 9:30am – 10:45am
Classroom: Oak 308
Instructor: Dr. Stefan Kaufmann
Instruction mode: Hybrid Limited
Prerequisites: None
Course overview: This course is an introduction to computer programming for students with little or no prior programming experience. Its goal is to familiarize students with core concepts and essential skills, with special emphasis on typical tasks and applications in the Cognitive Sciences. We use the Python programming language because it is both accessible to beginners and widely used in real-world scientific programming. However, the concepts and skills we cover are helpful in mastering other programming languages as well.
Language & Racism
Course Name: COGS 2345/AFRA 2345: Language and Racism
Days and times: Tuesdays & Thursdays from 12:30pm – 1:45pm
Classroom: Arjona 105
Instructors: Drs. Letitia Naigles & Bede Agocha
Instruction Mode: In-Person
Prerequisites: Open to sophomores or higher. Recommended preparation: One course in AFRA or COGS.
Description: This course examines the relationships between language use, both historically and across the lifespan, and the social construction of race, racism, and racial identity, with particular emphasis on racial politics in the United States.
Course overview: LANGUAGE plays an immense, though often underrated role in nearly every domain of students’ lives, including where they live, who they love, what they learn, and whether and how they get and keep a job. Relatedly, then, language can also prevent all of the above. Language is a vehicle of racism because the language used by those in the majority or in power is artfully constructed to categorize people according to race and to place groups in deeply hierarchical relationships to one another.
Our course on Language and Racism deploys tools of the cognitive and psychological sciences to both illuminate and illustrate potential interventions for language racism.
- We examine the linguistics and sociolinguistics of the language(s) used by Black communities in the U.S., including their origins, creolization, complex linguistic structure, and issues of stigma versus pride.
- We examine the language of racism, including the types of discourse that construct Whiteness as dominant over Color, the processes of language standardization, and the ideologies of language and their interaction with group identity at both the local and national community levels.
- We consider antiracism interventions that are language-based.
- The course is project-based, with students learning to understand how language is used in their various social contexts as well as in contexts they can access via stored content. Students will learn to analyze their own and others’, famous and commonplace, racist and antiracist linguistic output/texts, using the Linguistic Inquiry and Word Count (LIWC) computational tool, which analyzes texts as manifesting properties such as anger, authority, in-group, out-group, and fairness.
Hot off the Press: IBACS 2022/2023 Brain Digest
The Institute for the Brain and Cognitive Sciences is excited to share the recently finalized IBACS 22/23 Brain Digest that features the Cognitive Science Program. Thank you to all of the faculty, graduate students, and undergraduate students who have contributed- especially our graduate student editors, Cynthia Boo and Lee Drown! We hope you will enjoy reading it as much as we’ve enjoyed creating it. Please email the IBACS Coordinator, Crystal Mills, at crystal.mills@uconn.edu if you’d like physical copies mailed to you.
IBACS-Brain-Digest_FY2023
Fall 2023 new graduate course
Sentence and Discourse Processing (PSYC 5583)
Fall, 2023 (timeslot to be determined)
Instructor: Whitney Tabor (whitney.tabor@uconn.edu)
This course provides an introduction to psycho- and computational linguistics at the sentence and discourse levels. It includes a theoretically-grounded exploration of Deep Learning/Large Language Models (LLMs), linking these to psycholinguistic work on phenomena at the boundary of competence and performance. The course focuses on a number of structural/semantic phenomena of interest, selected from case-marking, agreement, long-distance dependencies, recursion, event-structure, and semantic/pragmatic factors in islandhood among others. It considers cases where some researchers have argued that competence and performance phenomena are linked, and it asks what implications these phenomena have for the theory of language.
The course will be offered in Fall, 2023. It is currently listed in the time schedule as occurring on Mondays from 1:30-4:30 but this timeframe will almost certainly change once it becomes clear who plans to take the course. If you are interested, please send email to whitney.tabor@uconn.edu.
SLAC/NBL/COGS Talk: Dr. Cristiano Chesi on 3/27
Dr. Cristiano Chesi, University School for Advanced Studies (IUSS) in Pavia, Italy
Date:Monday, 3/27/2023
Time: 12:20 PM
Place: BOUS A-106
Talk Title: Testing grammaticality through minimal-pairs sensitivity in (deaf) children (and ChatGPT): The COnVERSA test Cristiano Chesi
Bio: Cristiano Chesi is Associate Professor of Linguistics at the University School for Advanced Studies (IUSS) in Pavia, Italy, where he serves as Director of NeTS, the IUSS Laboratory for Neurolinguistics, Computational Linguistics, and Theoretical Syntax. His research interests include computational linguistics, language acquisition, and linguistic disabilities.
Presented by the UConn Programs in SLAC (the Science of Learning and the Art of Communication) and NBL (the Neurobiology of Language), with co-sponsorship by UConn’s Cognitive Science Program
To request an appointment with Dr. Chesi, please contact William Snyder (william.snyder@uconn.edu).
Save the Date: IBACS Meet & Speak on 4/28
We are asking you to save the date for the 2023 IBACS Meet & Speak event on Friday, April 28th from 9-4:30pm. This exciting event will be in-person in Konover Auditorium.
Affiliated faculty will give 10-minute talks, most of which are on the research they have carried out, or propose carrying out, with seed funding awarded by IBACS. Affiliated graduate students who have received IBACS funding will present 5-minute “datablitz” style talks.
The event will provide an opportunity to learn more about the diverse interdisciplinary research of IBACS affiliates, provide a forum for cross-disciplinary networking, and will introduce our refurbished EEG Lab and our new UConn Science Alliance Mobile (SAM)!
Schedule
9:15AM – Welcome
9:30AM – Panel Discussion
10:15AM – Faculty Talks
11:25AM – Graduate Student Data Blitz
12:00PM – Lunch
1:00PM – Keynote Speaker: Dr. Diego Bohorquez, Duke University
2:30PM to 4:30PM – Tours of the UConn Science Alliance Mobile (UConn SAM) and EEG Lab
A more detailed program including speaker names, talk titles, and the focus of the panel discussion will be shared soon.
LangFest 2023 – Save the Date!
We are excited to announce that Language Fest is making an in-person return for 2023, and invite you to join us on the afternoon of Wednesday, April 26th (event times TBD).
Language Fest is a University-wide research conference that welcomes the full cross-disciplinary community of language researchers at UConn for a day of sharing results, ideas, methodologies, and fostering future interdisciplinary collaborations. Researchers from all disciplines of the language sciences and at all career stages are welcome and encouraged to submit their work.
Further details about submissions and registration will be provided in early-March 2023.
For any questions about Language Fest, please e-mail: langfest@uconn.edu and visit our website https://languagefest.uconn.edu/.
We look forward to your attendance and participation!
IBACS Summer 2023 Call for Seed Grant Applications
The application period for the summer research grant program opens TODAY, Monday February 20th, and the deadline for applications will be 11:59 pm on March 13th, 2023. 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. Once the applicant lists the faculty advisor of the project in the form, an email will be sent to the faculty member with directions for how to submit the letter. Applicants must fill out the online application, submit a relatively short research plan and a budget that explains in detail how the funds will be spent.
The budget should be constructed in the following manner: The total award will be for up to $5,000. $3,500 should go to providing the student with a summer stipend, and it is expected that the student will spend at least 10 weeks of the summer working on this project at UConn. Up to $1,500 can be allocated for any supplies or materials that contribute to the research, including software, participant costs and any animal expenses.
Students who received a Fall 2022/Spring 2023 IBACS grant are eligible for the summer award. However, students cannot take the summer IBACS award in combination with any other major summer award (e.g. SURF). Thus, a student can apply for multiple awards, but can only accept one. The results of the grant review will be given to the student awardees in time for them to make a decision about which grant they will accept, in case they receive more than one.
The IBACS undergraduate award applications are reviewed based on the following criteria:
- The project description is well written and clearly explains the project.
- The project clearly focuses on a research area associated with the IBACS mission.
- The budget is itemized, appropriate to the project described, and reports the total cost of the project (even if it exceeds the funding requested).
- The advisor is familiar with the student’s project and rates the student’s work to date highly.
- Where project applications are equally meritorious, the reviewers will take note of how the student’s project will contribute to the advisor’s research goals.
- The student and his/her project meet the eligibility criteria.
- The student has secured research compliance approval(s) if necessary for the project. No award will be issued until documentation of approval(s) is received.