Fellowships & Jobs
Fellowships, Programs, and Grants
Presidential Scholars in Society and Neuroscience, Columbia University
The Presidential Scholars in Society and Neuroscience (PSSN) program at Columbia University invites applications for interdisciplinary postdoctoral positions to begin on July 1, 2022. Selected applicants will join our existing Presidential Scholars and a large group of mentors and affiliated faculty from the arts, humanities, social sciences, and natural sciences.
PSSN is an innovative program pioneering interdisciplinary research between neuroscience and the arts, social sciences, and humanities. Each Scholar in this highly selective program has proposed a novel cross-disciplinary research project at the intersection of neuroscience and at least one other field, which they will conduct over the course of the three-year fellowship. Presidential Scholars join a vibrant community of postdoctoral researchers and faculty mentors and affiliates from across Columbia University.
For this application season, PSSN recognizes that there is a growing need for Presidential Scholars who have experience examining questions about diversity, equity, inclusion, anti-racism, and decolonization broadly defined. The future of science depends on scholars who can foster new collaborations among neuroscientists and other discipline experts, practitioners, and policymakers around these compelling and urgent societal issues that connect to mind, brain, behavior, and mental health. Priority will be given to applications that align with the goal of supporting diversity, equity, and inclusion within the program. This can be considered in three overarching ways:
- Applications include current research and/or research proposals that involve empirical research, the collection of data, or the study of history, evidence, or policy aimed to better understand or combat racism, bias, and inequality, or that are designed to benefit marginalized groups in the U.S. or abroad;
- Applicants may come from communities which are historically underrepresented or marginalized in neuroscience or in the field or discipline in which they specialize;
- Applicants have demonstrated commitment and contributions towards promoting diversity, equity, and inclusion at their current institutions or within their community.
Candidates must hold a doctoral-level degree (PhD, EdD, JD, MD, etc.) in any field by July 1, 2022, and must have received this degree after July 1, 2017. For more information and application instructions please visit the PSSN website. Applications must be submitted by Monday, December 13, 2021, to be included in the first round of reviews.
2022 Beckman Institute Postdoctoral Fellows
The Beckman Institute Postdoctoral Fellowship programs support outstanding scientists at the Beckman Institute. The programs offer a unique opportunity for selected scholars to engage in a three-year fellowship of interdisciplinary research at the Beckman Institute. This year, we have partnered with the Carle Foundation Hospital to offer an additional Carle-Beckman Postdoctoral Fellowship!
For more information and to apply online, please see below:
- Beckman Institute fellowship general information
- About the Beckman Institute Postdoctoral Fellows Program
- Postdoctoral Fellowship application instructions
- Frequently-Asked Questions list
- Direct link to online application form
Applications are due on the Monday before Thanksgiving:
Monday, November 22, 2021 by 5:00pm Central Standard Time.
Diverse Pathways in Academia
The Leonard N. Stern School of Business invites talented scholars of color and others underrepresented in business scholarship to participate in our Diverse Pathways in Academia program. The program’s goal is to share information with doctoral students from groups that are underrepresented among business school faculty about academic careers within business schools.
The program is geared toward scholars in either their penultimate doctoral year or the year prior from the fields of psychology and sociology whose work can be applied to a business field. We hope to increase the pool of scholars from underrepresented groups that are competitive candidates for open faculty and research positions at top tier business schools.
Many of NYU Stern’s faculty members hold doctorates in fields such as psychology, sociology, statistics, mathematics, computer science and other non-business subjects. They have found a stimulating and satisfying academic community at Stern. This reflects the wide range of opportunities at business schools for individuals with doctorates in other fields. For instance, many psychology and sociology scholars investigate topics of great relevance and importance to management research and practice such as identity, emotions, groups, diversity, person perception, and a wide range of other topics. Similarly, many cognitive psychology and social psychology scholars investigate topics on judgment and decision-making, for example, that are highly relevant to the field of marketing, which includes the study of consumer behavior and decision-making.
In light of the pandemic, the program will take place via Zoom on January 21, 2022. It will include presentations and panels by faculty members and administrators, along with networking opportunities. Program participants will have the opportunity to engage with Stern’s deans, professors, and administrators to:
- Learn how their fields of study can be applied to business scholarship;
- Learn about the scholarly career of the business school faculty;
- Learn best practices to prepare for the business school faculty recruitment, application, interview and selection process;
- Learn best practices for cultivating job prospects, how to negotiate job offers, and how to decide whether a position is right for you;
- Learn about NYU Stern post-doc and faculty positions;
- Network formally and informally with Stern faculty and graduate students working in areas related to program participants’ respective fields of study. Participants will have an opportunity to discuss their current and future research interests with faculty mentors and will receive guidance on the potential fit between their interests and business school environments; and
- Join Stern’s DPA 2020 alumni and those from NYU’s similar programs for follow-up programming and support.
Scholars participate in the initiative at no cost.
Eligible applicants can apply for Diverse Pathways in Academia here. The deadline for application is October 29, 2021 for the January 21, 2022 program.
Learn more here.
Jobs & Internships
Quantitative Research Scientist (Remote) at Pearson
Quantitative Research Scientist - Remote
The Efficacy and Learning Research division of the Direct to Consumer organization is looking for a Quantitative Research Scientist to join our Learning Impact Measurement group. The core mission of the Efficacy and Learning Research team is to improve the impact that Pearson’s products and services have on learner outcomes. Thus, the position provides the opportunity to facilitate cutting-edge research that makes a substantial contribution to learning and instruction.
Are we right for you?
This role is critical for the design and execution of impact evaluation research, the results of which are used for continuous product improvement, to help market and sell our products and services to new customers, and to support existing customers in implementing our products more effectively.
You will:
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Locate, identify and/or extract usable data, both on- and off-platform
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Join or merge discrete data sources
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Prepare data for analysis, including cleaning, organizing, and transforming data as appropriate
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Conduct analysis, build solutions, and create compelling visualizations
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Translate data into accessible insights and stories for diverse audiences
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Provide recommendations on product data instrumentation
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Consult on metrics for learner outcomes like engagement, achievement, and progression into employment
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Collaborate with colleagues from different parts of the business
Are you right for us?
Technical skills
You possess a toolkit of creative solutions for research and data challenges that include:
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Range of quantitative data collection and analysis approaches
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Data processing and linking techniques
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Fluency with relational databases (e.g., SQL)
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Familiarity with using scientific computing tools (e.g., R, Python), fluency is a plus
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Data visualization skills
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Meticulous data processing documentation
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Familiarity with data privacy and security considerations
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Experience building and maintaining live dashboards (e.g., via Tableau or other visualization applications) is a plus
Commercial skills
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You can translate product team needs into questions that can be answered by available data
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You are flexible and able to adapt plans in response to changing market conditions
Collaboration & Communication skills
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You are able to communicate clearly and accessibly about data with collaborators that have diverse backgrounds and expertise, including non-researchers
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You can connect with colleagues and maintain cooperative relationships
Education
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MA in Computer Science, Psychology, or STEM field or equivalent experience is required
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PhD is preferred
If interested, you may contact:
Katherine McEldoon, Ph.D.
Katherine.McEldoon@pearson.com
Data Scientist at Rune Labs
Remote within the U.S. and Canada
For additional details and to apply, click HERE.
Rune Labs
Rune is a brain data company empowering the development and delivery of precision neuroscience therapeutics. We work with a wealth of newly-captured, high-fidelity neural recordings to advance data-driven therapies for diseases such as Parkinson’s, OCD, Depression, and other neurological conditions. Rune aims to fill the gap in software and data support for next-generation neuroscience therapeutics, and expand the benefits of precision medicine to the millions of patients with neurodegenerative and psychiatric diseases. We’re already generating revenue and are well-funded by top-tier investors.
Rune’s first-in-class precision brain data software platform integrates electrophysiology, brain imaging, and device data together with wearable data and clinical labels. The combination provides researchers, drug developers, and clinicians with the tools to guide treatment, uncover hidden disease phenotypes, and design better-targeted therapies.
The Role
In this full-time position on our Neuroscience team, you will work hands-on with large, aggregated datasets from patients with Parkinson’s, MS, chronic pain, treatment-resistant depression, epilepsy, and other neurological conditions afflicting tens of millions of people. Our goal is to analyze these datasets to generate insights that will guide treatment, uncover disease phenotypes, and design better targeted therapies. This Data Scientist will help our team understand neurological and psychiatric diseases.
Level and Compensation Range:
This role is open at the mid to senior level; our compensation range is $140,000-156,1000 (mid-level), $164,700-$180,400 (senior) + benefits and equity
Google Internships and Jobs
Check out job opportunities at Google for people pursuing advanced degrees related to quantitative behavioral science.
This role, quantitative user experience researcher, is well suited for people with experience in behavioral research design, statistical methods, and general programming.
Internship opportunities for masters and PhD students are available for Summer 2022. Applications are due January 28, 2022. Full time opportunities are also available.
You can learn more about the role here. If you have any questions, don't hesitate to contact us at quant-uxr-outreach@google.com, or reach out to Ben Amsel at amsel@google.com
Honda Research Institute USA
Honda Research Institute USA has multiple internship openings for Fall/Winter 2021. Go to our careers website (https://usa.honda-ri.com) for a complete list of available positions. All inquiries must include the Job Number(s) in the subject line and sent directly to careers@honda-ri.com.
How to Apply: send an e-mail to careers@honda-ri.com with the following:
- Subject line including the job number(s) you are applying for (See below)
- Recent CV
- A cover letter
- Topics you are interested in (Optional)
Candidates must have the legal right to work in the U.S.A.
Machine Learning/AI
- Machine Learning for Novel Gas Sensors (Job Number: P20INT-26)
- Learning and Control Research (Job Number: P20INT-27)
- Path Planning and Lane Selection Research (Job Number: P20INT-45)
Human-Machine Interaction
- Human Factors for Next Generation Mobility Interfaces (Job Number: P20INT-28)
- Vision and Language Navigation (Job Number: P20INT-29)
- Interaction with next generation mobility (Job Number: P20INT-30)
- Human Behavior Modeling (Job Number: P20INT-35)
- Biomechanical Simulation of Human Movement (Job Number: P20INT-42)
- HMI Engineer (Job Number: P20INT-43)
Robotics
- Intention Estimation for Teleoperation (Job Number: P20INT-31)
- Visuotactile Perception and Deep RL for Contact-Rich Robotic Manipulation (Job Number: P20INT-32)
- Robotics Controls Software Engineer (Job Number: P20INT-44)
Computer Vision
- Domain Adaptation and Video Style Transfer (Job Number: P20INT-36)
- Visual Understanding of Traffic Scenes (Job Number: P20INT-37)
- Video Captioning in Traffic Scenes (Job Number: P20INT-38)
- Human Action Understanding (Job Number: P20INT-39)
- Multi-agent Relational Reasoning in Driving Scenarios (Job Number: P20INT-40)
- Human Pose Prediction (Job Number: P20INT-41)
Other
- Prototyping engineer (Job Number: P20INT-46)
Tenure Track Jobs at Purdue
TWO ASSISTANT/ASSOCIATE TENURE-TRACK PROFESSOR OPENINGS PURDUE UNIVERSITY
The Department of Speech, Language, and Hearing Sciences at Purdue University, West Lafayette, IN is seeking applications for two assistant or associate level tenure-track faculty positions, one in speech fluency, fluency disorders, or developmental speech motor disorders and one in adult neurogenic disorders with primary focus on language and cognition. Researchers incorporating diverse methodologies to understand disorders related to these areas are particularly encouraged to apply. Primary criteria are excellence in research and teaching, and a commitment to advancing diversity, equity, and inclusion. A Ph.D. in Speech, Language, or Hearing Science or a related field is required.
Essential duties include performing primary research in one of the desired focus areas, teaching at the undergraduate and graduate level, and contributing to the climate of inclusion and equity.
The positions are 9-month appointments with an anticipated start date of August 2022.
The Department of Speech, Language, and Hearing Sciences is a diverse and collegial department with 21 research/tenure track and 15 clinical faculty members. Research areas represented in the Department include: Speech-Language Pathology, Audiology, Linguistics, Neuroscience, and Speech & Hearing Sciences. The Department houses a thriving interdisciplinary community. Research-clinical collaborations are encouraged and are facilitated by the M.D. Steer Speech and Hearing Clinic housed within the building including the Preschool Language Program. Faculty in the department have ongoing collaborations with other departments (e.g., Biomedical Engineering, Biological Sciences, Human Development and Family Studies, Linguistics, Psychological Sciences), on-campus programs/centers (e.g., Institute for Integrative Neuroscience, Center on Aging and the Life Course, Purdue Autism Research Center, Center for Research on Brain, Behavior, and NeuroRehabilitation, Center for Families, Military Family Research Institute, and Center for Early Learning), and with Indiana University-School of Medicine and local multi-level care facilities. Faculty lead two interdisciplinary NIH training grants in Communication Disorders and in Auditory Neuroscience. The Department has accredited and highly ranked clinical programs in Speech-Language Pathology and Audiology, and awards Bachelors, Masters, Au.D., and Ph.D. degrees. Purdue University’s Department of Speech, Language, and Hearing Sciences is committed to advancing diversity in all areas of faculty effort, including scholarship, instruction, and engagement.
Candidates should address at least one of these areas in a separate Diversity and Inclusion Statement, indicating their past experiences, current interests or activities, and/or future goals to promote a climate that values diversity and inclusion.
To be assured full consideration, complete applications should be received by November 12, 2021.
Review of applications will begin November 15, 2021 and continue until the positions are filled. A curriculum vitae, letter of application, a research plan, teaching statement, diversity and inclusion statement, and three selected publications should be submitted through this link: https://career8.successfactors.com/sfcareer/jobreqcareer?jobId=16025&company=purdueuniv.
Three letters of recommendation that address the applicant’s potential in research, teaching, and inclusion should be emailed separately by the letter writers to Lead Administrative Assistant, Teasha McKinley, at slhsadmin@purdue.edu.
Questions regarding the positions should be directed to the Chair of the Search Committee, Professor Jessica Huber (jhuber@purdue.edu).
A background check will be required for employment in these positions. Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities and veterans are encouraged to apply.
Assistant Professor of Psychology and Data Science at NYU
New York University: NYU - NY: Center for Data Science
Location
New York
Open Date
Sep 13, 2021
Description
New York University invites applications for a tenure-track, assistant professor position focused on Mind, Brains, and Machines. The position would be a joint appointment in the NYU Center for Data Science and the Department of Psychology. This position is part of a cluster hire initiative around human and machine intelligence. More information about this cluster, and NYU's broader Faculty Cluster Hiring Initiative, can be found here, and here. The anticipated start date is September 2022, pending budgetary and administrative approval.
We seek applicants who can help advance world-class research in data-intensive and computationally sophisticated psychological science. Successful applicants could contribute to research and teaching in example areas such as: (1) Understanding and engineering intelligence, through studying its computational basis in humans and machines; (2) Utilizing new methods and technologies for studying human behavior, including novel experimental paradigms or naturalistic datasets capturing real-world interactions; (3) Establishing deeper connections between human and machine approaches to extracting knowledge from data, potentially leading to new technologies for studying the mind and new algorithms for data science informed by psychological research (e.g., artificial intelligence and machine learning). Applications from researchers who bridge between the existing research strengths of the Department of Psychology and the Center for Data Science are encouraged. In addition to advancing a research program capable of attracting outside funding, applicants will be expected to contribute to the teaching missions of both the Psychology department and the Center for Data Science.
Qualifications
A PhD in Psychology, Data Science, Cognitive Science, Computer Science, Neuroscience or a related quantitative field is required.
Application Instructions
Applications and supporting documents received by December 1st, 2021 will receive full consideration.
Please include a CV, short statements of your research and teaching interests, three representative papers, and three letters of recommendation on your behalf.
Diversity and inclusion are important parts of the NYU mission. In your research and teaching statements (or in a separate Diversity and inclusion statement), please describe the ways in which your (1) scholarship, (2) teaching and mentoring, and/or (3) service and engagement demonstrate your commitment to diversity, equity, and inclusion. We are particularly interested in hearing about (1) concrete steps you have taken (or are planning to take) to foster an inclusive intellectual environment in your research lab, in the classroom, in the department and on campus, and/or in your field more generally, and (2) how these steps connect with your broader views on the topics of diversity, equity, and inclusion.
Arts and Sciences at NYU:
The Faculty of Arts and Science at NYU is at the heart of a leading research university that spans the globe. We seek scholars of the highest caliber who embody the diversity of the United States as well as the global society in which we live. We strongly encourage applications from women, racial and ethnic minorities, and other individuals who are under-represented in the profession, across color, creed, race, ethnic and national origin, physical ability, gender and sexual identity, or any other legally protected basis. NYU affirms the value of differing perspectives on the world as we strive to build the strongest possible university with the widest reach. To learn more about the FAS commitment to diversity, equality and inclusion, please read here: http://as.nyu.edu/facultydiversity.html