NeurIPS 2023 Career Website

Here we highlight career opportunities submitted by our Exhibitors, and other top industry, academic, and non-profit leaders. We would like to thank each of our exhibitors for supporting NeurIPS 2023. Opportunities can be sorted by job category, location, and filtered by any other field using the search box. For information on how to post an opportunity, please visit the help page, linked in the navigation bar above.

Search Opportunities


The Wm Michael Barnes ’64 Department of Industrial and Systems Engineering (ISEN), College of Engineering at Texas A&M University invites applications for two (2) open rank, full-time tenured or tenure-track positions in the area of Data Science and Engineering. The candidate is expected to teach multiple courses from the curriculum of the newly launched Bachelor of Science degree in Data Engineering. ISEN is looking to expand in all areas of Data Science and Engineering, including, but not limited to: machine learning, reinforcement learning, data analysis, data privacy and security, foundation models, and relevant applications.

This position is a 9-month academic appointment with the possibility of an additional summer appointment contingent upon need and availability of funds, beginning Fall 2024. Applicants will be considered for the faculty titles of assistant, associate, and full professor levels depending on qualifications. The successful applicant(s) will be required to teach; advise and mentor graduate students; develop an independent, externally funded research program; participate in all aspects of the department’s activities; and serve the profession.

ISEN faculty have strong collaborations with the Institute of Data Science, Center for Remote Health Technologies and Systems, Cybersecurity Center, Institute for Manufacturing Systems, and Bush Combat Development Complex.


Applicants must have an earned doctorate in industrial and systems engineering, computer science, computer engineering, statistics, or a closely related engineering or science discipline.

Application Instructions Applicants should submit a cover letter, curriculum vitae, personal statement to include philosophy and plans for research, teaching, and service, as applicable, and a list of four references (including postal addresses, phone numbers and email addresses) by applying for this specific position at Full consideration will be given to applications received by November 15, 2023. Applications received after that date may be considered until positions are filled. It is anticipated the appointment(s) will begin Fall 2024.

Job contact:



Department of Psychology, York University, Toronto

The Department of Psychology at York University (Toronto, Canada) is currently embarking on a search for a highly talented Computational Neuroscientist with a focus on vision-related research, broadly defined.

This unique position is part of the prestigious Canada Research Chairs program (CRC) and is also supported by the Vision: Science to Applications (VISTA) program. We are actively looking for candidates to fill this role at either the Assistant or Associate Professor level, depending on qualifications and experience (within 10 years from their terminal degree). Recognizing the underrepresentation of women and gender minorities among CRCs, this position is open only to qualified researchers who indicate on the Affirmative Action self-identification form that they identify as women or gender non-conforming.

Deadline for Applications is November 15, 2023

For complete job descriptions and application details, visit

Data Science Intern (Viking Global Investors) United States

660 5th Avenue (NYC)

Viking Global Investors is a global investment firm founded in 1999. We manage more than $41 billion of capital for our investors across long/short, long-only, and liquid/illiquid strategies. We have more than 280 employees and offices in Stamford, New York, Hong Kong, London, and San Francisco.

OPPORTUNITY The Data Science Intern will work closely with other members of the Data Science team, Investment Analysts, and Data Engineers to develop meaningful insights on global companies and macro trends, and to analyze, extend, and build on Viking’s significant repository of alternative data assets.

We seek an analytical and creative problem solver and provide them with the resources and tools to apply their Data Science training and experience to our most pressing and interesting research questions. The Data Science Intern will both work independently and collaborate with other intellectually curious quantitative professionals. We are open to different durations, start dates, and full-time vs. part time options for the ideal candidate.


The Data Scientist will have the opportunity to develop impactful analyses and insights to be used across our investment process and organization. Activities could include but are not limited to:

• Develop and deliver predictive analytics on companies, sectors, and macroeconomic trends • Deliver investment insights to the investment team from analysis using alternative data • Identify and evaluate new data sources • Streamline the data life cycle, operating model, and process • Test and evaluate new technologies to enhance our big data platform • Create centralized and automated analyses and processes • Contribute to Viking’s overall research effort by sharing information and insights across the firm


Across the firm, we attract motivated, intellectually curious, and analytically rigorous people who are passionate about learning and creating impact. The ideal candidate will possess the following traits:

• A strong performer currently enrolled in a Master’s degree or in a PhD program (3rd year and above) in Data Science, Economics, Finance, Statistics, or related quantitative fields • Strong communication skills, with the ability to convey complex ideas to a non-technical audience • Independence of thought and ability to carry out a research project with partial supervision • Proficiency in Python and statistical libraries • Working knowledge of SQL, BI software (e.g., Tableau), and cloud technologies preferable • Sound judgment and ability to take a step back from the analysis and look at the big picture • Passion for research, proactive and self-motivated • Commitment to excellence


• Please submit your resume/application through the Viking career site • Please remember to indicate your school name on the application page. • In addition to your resume, a supplement to the application is required. In 1-2 pages, describe a quantitative research project that you recently completed. Please include the following details (you can attach this document as a cover letter when submitting your application):

o The research question you were trying to answer o The data you used o Your approach, including details on the statistical methodologies o Your findings o The computational environment (e.g., language, main libraries, etc.)

• Please note our application deadline is November 13, 2023. • Interview process: Our interviews will take place virtually in December.

The base salary range for this position in New York City is $175,000 to $250,000. In addition to base salary, Viking employees may be eligible for other forms of compensation and benefits, such as a discretionary bonus,100% coverage of medical and dental premiums, and paid lunches. Actual compensation for successful candidates will be individually determined based on multiple factors including, but not li


Boston, Massachusetts

The Harvard Medical School Curriculum Fellows Program (HMS CFP) welcomes applications for an Artificial Intelligence/Machine Learning (AI/ML) Curriculum Fellow (CF) for the Center for Computational Biomedicine (CCB). The CFP is a postdoctoral service and training program intended for early-career scientist-educators, focused on curriculum development, teaching, and educational programming in the biological and biomedical sciences.

CCB is seeking a CF who will focus on developing, curating, and delivering AI/ML skills training to HMS students, postdocs, research staff and faculty to ensure HMS researchers remain at the forefront of innovation in their field of study.

The primary responsibilities of the CCB AI/ML CF are expected to include:

  • Working with the CCB’s Director of Education to implement CCB educational initiatives
  • Serving as the liaison between the CCB and other HMS departments to identify educational gaps in AI/ML skills training and develop a strategic plan for addressing them via on-line courses, self-study resources, classes, and workshops
  • Liaising with existing groups engaged in integrating AI/ML training into their programs at HMS to identify available resources and coordinate training, curriculum development, and outreach efforts
  • Creating curricula for and teaching CCB-hosted workshops, on-line courses, asynchronous resources, and in-person courses for HMS students, postdocs, research staff, and faculty
  • Using and developing curricula using AI/ML models and approaches for CCB-hosted workshops and other training offerings
  • Lead and intellectually contribute to one of CCB’s scholarship of teaching and learning projects with the expectation that findings collected during the fellowship will be presented at conferences and/or published in a scientific/education journal

Basic Qualifications: Candidates are expected to have a PhD or equivalent degree in Computational Science, Computational Biology, or a related field, along with experience applying AI/ML approaches to biological problems. Candidates who are currently finishing their doctoral work but have not yet graduated are encouraged to apply.

Qualified candidates will be evaluated based upon their: - Demonstrated interest or experience with teaching and/or curriculum development in higher education settings -Comfort and experience teaching and developing curriculum in an asynchronous online environment -Ability to bridge the gaps between computational and biomedical sciences -Organizational and written and oral communication skills -Ability to support collaborations across departments in a fast-paced academic environment

The ideal start date for this Curriculum Fellow is approximately April 1st, 2024. This is a hybrid position and the candidate will be expected to work in person on the HMS campus in Boston, MA 2-3 days per week. The CF appointment is renewable annually for a maximum of three years and is non-tenure-track.

To apply: Applications received by November 1, 2023 will receive a full review.

Please submit the following materials: -A cover letter that addresses your interest in and qualifications for the position. Please highlight your experience in AI/ML approaches to computational science, bioinformatics or a related field in your cover letter. - A curriculum vitae. - A teaching statement. The teaching statement is an opportunity to describe your philosophy of teaching in the context of your own experiences. A discussion of diversity, equity and inclusion is an important component of the teaching statement. Submissions will be evaluated according to the guidelines found on our website, here, - The names and contact information of three professional references.

For the full job description, and to apply, click here:


CU SOM - Aurora, Colorado

The Department of Physiology & Biophysics is seeking a computational neuroscientist to fill an open-rank, tenure-eligible faculty position. The applicant’s research program should emphasize the use of mathematical and computational methods to address fundamental questions in neuroscience and/or physiology. Particular domains of emphasis for the search include NeuroAI, theory, or advanced applied computational methods development. The successful candidate will be expected to lead a vigorous research program, participate in professional and graduate teaching, and training. The candidate will also have the opportunity to lead future faculty searches to build out a computational neuroscience cluster within the department. Recruited faculty will play a pivotal role in future hires to establish computational cluster within the department.

Appointees will join a vibrant and growing Department under the new leadership of Dr. David DiGregorio with a commitment to mentoring faculty and trainees from diverse backgrounds. Research interests in the Department currently include cardiac and skeletal muscle physiology, ion channel biophysics, molecular physiology, cell signaling, sensory and motor systems, and synaptic function. Extra-departmental interactions within molecular biophysics, neuroscience and physiology, including basic science and translational collaborations, are facilitated by several NIH-supported interdepartmental graduate programs and centers (e.g., Neuroscience Program, Pharmacology program, Structural Biology and Biochemistry program). Other shared resources include cores for biophysics and molecular interactions, molecular structure, electron microscopy, proteomics, and transgenic rodents. Appointees will be able to take advantage of affiliated Faculty within the Departments of Bioinformatics on campus and Applied Mathematics and Computer Science at the CU Boulder campus.

See full listing of minimum and preferred qualification as well as required application materials at the application link:

Application only accepted through the CU Careers link.


Frankfurt am Main, Germany

Goethe University Frankfurt am Main invites applications for the position of

Professor (W1, tenure track) of Machine Learning of World Models

in the Institute of Computer Science at the Faculty of Computer Science and Mathematics. This civil servant or public employee position will start as soon as possible.This professorship is funded by the Tenure Track Programme of the German Federal Government and the Federal States. It is a tenure-track position for an initial six-year term. If tenure is approved at the end of the term, the position will be made permanent and promotion to the rank of Full Professor (W2) will be granted. This position is open to individuals in the early stages of their academic career.

We are seeking for a candidate widely recognized for excellent research in one or several of the research areas Machine Learning Systems, Simulation, Augmented and Virtual Reality, Cognitive and Computational Neuroscience, as well as applications to complement our current team.

We expect the candidate to have finished a doctorate (with grades at least 'very good') and to possess an excellent track record of scientific publications. The professorship is embedded in the attractive research landscape in Frankfurt within and outside the university (see There are intensive collaborations with the Excellence Cluster Cardio Pulmonary Institute (CPI), the Ernst Strüngmann Institute for Neuroscience and other research institutions both within and outside the university. Experience in the acquisition of third-party funded projects is desired. The ability to connect to the research topics of the Institute of Computer Science, the research priorities of the faculty and the research profile of Goethe University and the willingness to cooperate with other research teams within the faculty and university are required.

We expect the candidate to represent his/her teaching subject in the undergraduate programs of the Institute of Computer Science. Upon positive tenure evaluation, a substantial participation in the basic courses in programming is also expected. Appropriate participation in academic self-administration is expected.

The formal hiring requirements are defined in Sections 67, 68, and 70 of the Hessian Higher Education Act (Hessisches Hochschulgesetz).

Goethe-University is an equal opportunity employer, committed to diversity and inclusion. In particular, we are welcoming applications by qualified women and people with a migrant background. At Goethe-University, a special emphasis is placed on creating and sustaining a family-friendly work and research environment. Where applicants are otherwise equally qualified, preference is given to candidates with disabilities or equivalent. The same applies to women in fields in which they are under-represented.

To apply, please send a CV, a list of publications, an overview of your research and teaching activities as well as transcripts and a selection of recent course evaluations as a single PDF document by 30 November 2023 to If you have any questions, please contact the Director of the Institute, Prof. Dr. Visvanathan Ramesh at Further information about the appointment process, the legal framework and data protection:


Location Tokyo Japan

Description The International Research Center for Neurointelligence (IRCN), based at The University of Tokyo Institutes for Advance Study in Japan, is seeking pioneering, enthusiastic, collaborative, and open-minded scientist(s) to establish a research program in neuro-inspired artificial intelligence (A.I.). We are particularly interested to promote in-house collaboration between theorists and experimentalists around emergent principles of brain development and its disorders. Human and artificial intelligence have much to learn from each other. At IRCN, we focus on brain development and its disorders to inspire novel A.I. as well as its application toward disease prediction and prevention. Our Team Science approach has made breakthrough discoveries in five areas: Neuromodulation (reinforcement learning), Critical Period Mechanisms, Social Learning, Intrinsic Activity and Predictive Coding. We are now seeking exceptional candidates for the role of Principal Investigator (Professor or Associate Professor) to integrate these findings into innovative A.I. This fusion of basic and clinical neuroscience with computational approaches is actively supported by state-of-the-art core facilities in cellular and human imaging, data science and gene targeting tools. IRCN was originally launched in October 2017 as a World Premier International (WPI) Research Center Initiative of the Ministry of Education, Culture, Sports, Science and Technology (MEXT). Through the WPI mechanism, IRCN established a research and administrative vision for an international ecosystem to attract the best scientists from around the world to Japan. IRCN accommodates and encourages diverse scientists from all countries to carry out novel, ambitious, cutting-edge research toward a value-added trans-disciplinary global impact. For further information about IRCN, see: IRCN welcomes all qualified candidates, regardless of nationality or gender, and works positively to eliminate biases. Notably, IRCN has an extensive overseas research network, encourages and supports our candidates' close collaborations with them. Our institutional language is English; Japanese language skills are not required. Support for researchers to live and thrive in Japan is provided by our talented staff. Start-up fund is provided during the initial period of the PI’s laboratory. See link below for more information.


Ithaca, New York 14853, United States

The Cornell NIH T32 Training Program in Artificial Intelligence and Precision Nutrition, AIPrN, is seeking applications for a Postdoctoral Fellow. The AIPrN training program represents the first institutional training grant focused on the intersection of Artificial Intelligence and nutrition and is supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health.

The training program is designed to train the next generation of scientists and build a workforce equipped with expertise in Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health using high dimensional data. The program will bring together faculty from Cornell University’s Ithaca, Cornell Tech, and Weill Cornell Medicine campuses, West Point, and University of California San Diego from the fields of nutrition, medicine, health and biomedical sciences, computer and information sciences, data science, engineering, and bioinformatics with core competencies in computational methodology, data science, systems science, ML, AI, and data infrastructure.

To be eligible, trainees must: 1. Be a U.S. citizen, non-citizen U.S. national, or those lawfully admitted for permanent residence. 2. Have received a PhD in computer science, information science, bioinformatics, mathematics, or a related data science field.

Candidates should demonstrate quantitative/qualitative research skills, excellent written and oral communication skills, and the ability to work independently and with collaborators. A track record of original first-author publications or conference proceedings from doctoral work is desirable.

Candidates may either submit a stand-alone statement that describes their experiences with, and or approaches to, fostering learning, research, service, and/or outreach in a diverse community, or they may include such information elsewhere in their application.

The T32 program requires dual mentorship - trainees will need to choose one mentor from the nutrition or related biomedical fields category and a second one from the computer and information science field title.

The selected candidate will be paid a 12-month stipend consistent with NIH and Cornell guidelines. Postdoctoral fellows also may apply for additional pilot funds from the Center for Precision Nutrition and Health to conduct research (up to $20,000) and/or present at professional conferences, as well as to support registration for online conferences.

Applicants must submit: 1) a NIH Biosketch or curriculum vitae, 2) a cover letter describing the applicant's interest, research experience, and available start date; 3) description of approaches to working in a diverse community; 4) the names and contact information of two professional references who will submit their letters to AJO directly through Academic Jobs Online: title

Applications will be reviewed on a rolling basis. Applicants who are moved beyond the first screening will be asked to submit additional information.

Please direct any questions to

The Division of Nutritional Sciences, and the College of Human Ecology and the College of Agriculture and Life Sciences at Cornell embrace diversity and seek candidates who will create a climate that attracts faculty, staff and students of all races, nationalities, and genders. We strongly encourage members of underrepresented groups to apply. In addition, Cornell University seeks to meet the needs of dual‐career couples, has a dual‐career program, and is a member of the Upstate New York Higher Education Recruitment Consortium to assist with dual‐career searches.


Eugene, Oregon, USA

H2 Starting date: September 2024

H2 Deadline: November 1, 2023

H2 Description

The University of Oregon’s Department of Linguistics invites applications for a tenure-track position of Assistant Professor in Linguistics, to begin in fall 2024. We seek candidates specializing in computational linguistics from a cognitive science perspective with expertise in speech signal processing and/or synthesis.

The successful candidate will have a research program that enhances the department’s research strengths and aligns with its intellectual framework. The successful candidate will help to prepare Linguistics students for jobs in the technology sector by teaching courses and mentoring students in computational linguistics and speech signal processing and/or synthesis. The candidate will also contribute to teaching and mentoring in the Interdisciplinary Cognitive Science minor and to educating Data Science majors. The ideal candidate will help develop a graduate-level track in computational linguistics, with the eventual goal of creating an MA-level program in the area.

We particularly welcome applications from scholars who identify as belonging to communities or populations historically underrepresented in the academy, and/or whose life experience would contribute unique perspectives to the department and university. Only applicants who aspire to excellence in teaching students from diverse backgrounds at the undergraduate and graduate levels will be successful.

H2 Minimum Requirements

Completed a Ph.D. in Linguistics or in a related field by the time of appointment; Strong promise of excellence in teaching and research; Commitment to academic excellence and to diversity, equity, and inclusion in teaching, research, and service; An established program of research addressing cognitive questions about spoken language; Potential to secure research grants and awards, whether as a principal investigator or in collaboration with other faculty.

H2 Preferred Qualifications

Research interests in the cognitive science of spoken language; especially Prosody, First/second language acquisition, and/or Learning Theory. Proficiency in discussing how computational methods might benefit applied linguistics

H2 About the department

We are a growing department structured in its research and graduate program around 3 broad themes: language processing & human health; language learning & technology; linguistic diversity & society. We share a usage-based approach to understanding language, with strengths in experimental linguistics, laboratory phonology, language learning and teaching, language description and revitalization, and language change. The department has strong undergraduate and graduate programs. We are committed to growing our undergraduate minor in interdisciplinary cognitive sciences and increasing course offerings for data science majors, where linguistics is a core domain of application. See more at

Neuroinformatics Cluster Hire at UIUC (University of Illinois at Urbana Champaign) United States

H1 Strategic Hiring Initiative: Neuroinformatics Cluster Hire at UIUC

The University of Illinois Urbana-Champaign (UIUC) is announcing a major university-wide Strategic Hiring Initiative to hire six (6) full-time tenure-track and tenured faculty positions at all levels (Assistant Professor, Associate Professor, Full Professor) in the area of Neuroinformatics that lies at the critical intersection of computational neuroscience, computer science, and information science with a primary focus on understanding the function of the brain in disease and health. This major institutional investment, which spans across the Grainger College of Engineering and the College of Liberal Arts and Sciences, seeks to expand and complement existing efforts across campus and serve as catalyst to establish UIUC as a center of excellence in understanding the function of the human brain. Additional information on this cluster hire initiative can be found on the website

H2 Participating Departments

The participating departments are: (1) Computer Science; (2) Electrical and Computer Engineering; (3) Bioengineering; (4) Statistics; (5) Psychology; and (6) Molecular and Integrative Physiology.

H2 Areas of Interest

We seek applicants with expertise in computer science, biomedical informatics, and computational neuroscience, with primary research interests directed at the development and application of modern artificial intelligence or machine learning analytical tools and techniques for coordinated “big data” analyses of the state-of-the-art neuroscience datasets, such as large-scale electrophysiology, calcium/voltage imaging, multimodal brain imaging, genetic and epigenetic data, and complex behavioral datasets.

H2 Eligibility

Successful candidates will be part of a large cohort of new faculty contributing to and benefiting from this rich computational systems neuroscience research environment and will have tenure homes in one of the six participating departments. Candidates interested in interactive and trans-disciplinary team research are particularly encouraged to apply. Cross-appointments between different departments are envisioned and encouraged, although each faculty member is expected to have a primary appointment in a single department.

H2 Application Instructions

To ensure full consideration, candidates should apply to one or more of the six departments. Candidates should include in their application cover letters that they would like to be considered for the cluster hire program, and they should list which other departments they have applied to, if any. For other application materials, candidates should follow the directions in specific position descriptions. Candidates may be contacted if a search committee requires more information. For full consideration, apply by the closing date listed in the specific departmental position descriptions. Early applications are strongly encouraged as interviews may take place during the application periods, but hiring decisions will not be made until after the closing dates. Please contact with any questions.


London, UK

Applications are invited for a Postdoctoral Research Associate with experience in machine and deep learning working on a project in cardiology and digital twins, working in the Digital Environment Research Institute (DERI) at Queen Mary University of London, UK.

The research will involve using the cardiovascular digital twin concept to digitally model three disease states: acute coronary syndromes, valvular heart disease and hypertension. These models will be created by inputting data from available existing and novel wearables, sensing technologies, apps and large data registries. Using this data, machine learning and digital models will be created to provide personalised patient treatment plans supporting their disease management, predicting disease states/trends and enabling device choice/design by predicting the patient’s response. Closing date: 18 September 2023