Society for Neuroscience
Assistant Professor in Computational Cognitive Neuroscience
Society for Neuroscience, Albany, New York, United States
Overview
Assistant Professor in Computational Cognitive Neuroscience – The Department of Psychology within the College of Arts and Sciences at the University at Albany invites applications for a full-time, tenure-track position at the rank of Assistant Professor in Computational Cognitive Neuroscience. We seek a scholar whose research addresses fundamental questions about human cognition and the brain by integrating cutting-edge neuroscience methods with innovative computational approaches such as artificial intelligence (AI), machine learning, or neuromorphic computing.
The Department offers Bachelor’s, Master’s, and PhD degrees with concentrations in Behavioral Neuroscience, Cognitive Psychology, Social Psychology, Clinical Psychology, and Industrial/Organizational Psychology. The University at Albany also hosts a vibrant community of Neuroscience faculty across departments affiliated with the Center for Neuroscience Research. This position emphasizes excellence in research, teaching, and service at an R1 institution that serves a diverse community and mentors the next generation of scientists.
Responsibilities
Research : Conduct innovative research and publish in peer‑reviewed journals, present at professional meetings, and secure external funding to support programmatic research.
Teaching : Educate and mentor undergraduate and graduate students, including course preparation and development.
Service : Contribute to the governance and functioning of the university, college, and department, including admissions, advising, and mentoring graduate students and serving on doctoral dissertation committees.
Functional and Supervisory Relationships
Reports to: Department Chair
Supervises graduate and undergraduate students and any research personnel (e.g., postdoctoral researchers; research scientists; technicians).
Requirements The successful candidate will advance theoretical and empirical understanding of human cognition through the integration of neuroscience and computational modeling. Candidates should demonstrate a strong foundation in experimental design, data analysis, and theory-driven inquiry, with a research program that leverages interdisciplinary methodologies. The ideal candidate will bridge neural and cognitive levels of analysis through multi‑modal data integration, biologically informed modeling, or the development of computational frameworks that jointly explain behavior and neural dynamics. Expertise in modeling neural data and developing methods to compare biological and artificial neural networks is highly valued. Applicants should have interest in applying machine learning and AI to understand neural and cognitive processes, and in advancing AI models informed by neuroscience and cognitive psychology. Research that informs foundational neuroscience and applications in mental health, neuromorphic computing, neurological disorders, behavior, education, or aging is welcome.
The candidate is expected to secure extramural funding, develop cross‑disciplinary approaches to brain research, contribute to graduate and undergraduate training in neuroscience and computational methods, and help position the University at Albany as a national leader in cognitive neuroscience at the intersection of AI and brain science. The role includes opportunities for interdisciplinary collaboration with mathematics, computer science, biology, and philosophy, supported by initiatives such as the AI Plus Institute, the Center for Healthy Aging, and the AI & Society Research Center. Access to high‑performance computing infrastructure, including AI supercomputing clusters, will support data‑intensive research.
Minimum Qualifications
A terminal doctoral degree (PhD or equivalent) in psychology, neuroscience, or a related field from an accredited institution by August 15, 2026.
Ability and plan to teach undergraduate and graduate courses.
Record of research and scholarly activity in cognitive neuroscience or related fields, demonstrated by peer‑reviewed publications, preprints, books, or conference proceedings.
Experience working with interdisciplinary teams.
Ability to develop inclusive and equitable relationships within a diverse campus community.
Commitment to diversity, equity, access, inclusion, and belonging in their role.
Preferred Qualifications
Experience using computational modeling, AI, machine learning, neuromorphic computing, or similar tools in cognitive neuroscience.
Record of innovation in cognitive neuroscience with peer‑reviewed publications in impactful journals.
Experience with modern neuroscience methodologies (computational modeling, non‑invasive neuroimaging, neurostimulation, naturalistic neuroscience, etc.).
Evidence of potential to secure extramural funding.
Teaching and curriculum development at the collegiate level.
Working Environment
Typical office, classroom, and research lab environments.
Additional Information Professional Rank and Salary Range: A5, Assistant Professor 10 Months, Salary commensurate with experience.
The University at Albany is an EO/AA/IRCA/ADA employer.
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The Department offers Bachelor’s, Master’s, and PhD degrees with concentrations in Behavioral Neuroscience, Cognitive Psychology, Social Psychology, Clinical Psychology, and Industrial/Organizational Psychology. The University at Albany also hosts a vibrant community of Neuroscience faculty across departments affiliated with the Center for Neuroscience Research. This position emphasizes excellence in research, teaching, and service at an R1 institution that serves a diverse community and mentors the next generation of scientists.
Responsibilities
Research : Conduct innovative research and publish in peer‑reviewed journals, present at professional meetings, and secure external funding to support programmatic research.
Teaching : Educate and mentor undergraduate and graduate students, including course preparation and development.
Service : Contribute to the governance and functioning of the university, college, and department, including admissions, advising, and mentoring graduate students and serving on doctoral dissertation committees.
Functional and Supervisory Relationships
Reports to: Department Chair
Supervises graduate and undergraduate students and any research personnel (e.g., postdoctoral researchers; research scientists; technicians).
Requirements The successful candidate will advance theoretical and empirical understanding of human cognition through the integration of neuroscience and computational modeling. Candidates should demonstrate a strong foundation in experimental design, data analysis, and theory-driven inquiry, with a research program that leverages interdisciplinary methodologies. The ideal candidate will bridge neural and cognitive levels of analysis through multi‑modal data integration, biologically informed modeling, or the development of computational frameworks that jointly explain behavior and neural dynamics. Expertise in modeling neural data and developing methods to compare biological and artificial neural networks is highly valued. Applicants should have interest in applying machine learning and AI to understand neural and cognitive processes, and in advancing AI models informed by neuroscience and cognitive psychology. Research that informs foundational neuroscience and applications in mental health, neuromorphic computing, neurological disorders, behavior, education, or aging is welcome.
The candidate is expected to secure extramural funding, develop cross‑disciplinary approaches to brain research, contribute to graduate and undergraduate training in neuroscience and computational methods, and help position the University at Albany as a national leader in cognitive neuroscience at the intersection of AI and brain science. The role includes opportunities for interdisciplinary collaboration with mathematics, computer science, biology, and philosophy, supported by initiatives such as the AI Plus Institute, the Center for Healthy Aging, and the AI & Society Research Center. Access to high‑performance computing infrastructure, including AI supercomputing clusters, will support data‑intensive research.
Minimum Qualifications
A terminal doctoral degree (PhD or equivalent) in psychology, neuroscience, or a related field from an accredited institution by August 15, 2026.
Ability and plan to teach undergraduate and graduate courses.
Record of research and scholarly activity in cognitive neuroscience or related fields, demonstrated by peer‑reviewed publications, preprints, books, or conference proceedings.
Experience working with interdisciplinary teams.
Ability to develop inclusive and equitable relationships within a diverse campus community.
Commitment to diversity, equity, access, inclusion, and belonging in their role.
Preferred Qualifications
Experience using computational modeling, AI, machine learning, neuromorphic computing, or similar tools in cognitive neuroscience.
Record of innovation in cognitive neuroscience with peer‑reviewed publications in impactful journals.
Experience with modern neuroscience methodologies (computational modeling, non‑invasive neuroimaging, neurostimulation, naturalistic neuroscience, etc.).
Evidence of potential to secure extramural funding.
Teaching and curriculum development at the collegiate level.
Working Environment
Typical office, classroom, and research lab environments.
Additional Information Professional Rank and Salary Range: A5, Assistant Professor 10 Months, Salary commensurate with experience.
The University at Albany is an EO/AA/IRCA/ADA employer.
#J-18808-Ljbffr