University of Oregon, NeuroAI Center

Position ID:

University of Oregon-NeuroAI Center-POSTDOC [#28843]

Position Title:

Postdoc

Position Type:

Postdoctoral

Position Location:

Eugene, Oregon 97403, United States of America

Subject Areas:

Artificial Intelligence
Statistics
Neuroscience
Data Science
Machine Learning (more...)

Appl Deadline:

2024/12/01 11:59PM help popup

(posted 2024/10/10, listed until 2024/12/11)

Position Description:

POSITION SUMMARY

Postdoc positions are available for researchers with strong quantitative backgrounds at the University of Oregon’s NeuroAI Center (ion.uoregon.edu/neuroai) with the Murray and Mazzucato labs. In our research, we seek to uncover the principles of how the brain performs computations related to sensory perception, decision making, and motor control. While previous experience in computational neuroscience and machine learning are welcome, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are highly encouraged to apply as well.

Some of the scientific questions that motivate our work are

- How do different regions of the brain interact to learn new motor skills?

- What are the neural mechanisms underlying optimal performance in complex cognitive tasks?

- What are the principles that enable brains and artificial agents to learn efficiently from experience while minimizing forgetting?

- How can neural circuits generate the complex dynamics enabling naturalistic animal behavior?

Our labs aim at building mechanistic models of brain function grounded in a combination of theoretical approaches, neural network-based simulations, and statistical analysis of experimental data. The candidate will have the opportunity to collaborate with a large network of experimental collaborators at University of Oregon and at other institutions with expertise in sensory processing (visual, auditory, and olfactory), motor control, naturalistic behavior, neural engineering, and brain-computer interfaces. See some examples of our recent publications below.

The Oregon NeuroAI Center is part of the Institute of Neuroscience at the University of Oregon (ion.uoregon.edu), a major hub for systems and theoretical neuroscience research. The successful candidate will also join our International Network for Bio-Inspired Computing (in-bic.org), a worldwide consortium of NeuroAI groups that provides trainees with an extended network for collaboration, including trainee exchanges, workshops, and schools. The University of Oregon is located in Eugene, Oregon, a vibrant college town in the Pacific Northwest with ample cultural offerings and phenomenal access to outdoor recreation.

We offer a competitive salary commensurate with the candidate’s experience, and remote work arrangements may be considered. Our Institute strongly advocates for inclusivity in science, and we encourage applications from underrepresented groups.

REQUIRED QUALIFICATIONS

Successful candidates will have a PhD in a quantitative field, including physics, neuroscience, mathematics, statistics, computer science, or related fields. Applicants should have a strong quantitative background including at least some coding experience.

APPLICATION

Application reviews will start on December 1st and will continue until the position is filled. Applications should include a cover letter, CV, two-page statement of research interests, one-page DEI statement (guidelines here: https://tinyurl.com/yt3rhsd8), and contact information for three letters of reference.

REFERENCES

C Schmid and JM Murray (2024). Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron. Advances in Neural Information Processing Systems (in press) arXiv:2409.03749.

S Ogawa, F Fumarola, L Mazzucato (2023). Multitasking via baseline control in recurrent neural networks. Proceedings of the National Academy of Sciences, 120(33), e2304394120.

JP Portes, C Schmid, JM Murray (2022). Distinguishing Learning Rules with Brain Machine Interfaces. Advances in Neural Information Processing Systems, 35, 25937.

S Recanatesi, U Pereira-Obilinovic, M Murakami, Z Mainen, L Mazzucato (2022). Metastable attractors explain the variable timing of stable behavioral action sequences. Neuron, 110(1), 139-153.

Application Materials Required:

Submit the following items online at this website to complete your application:

Cover letter
Curriculum Vitae
Research statement
DEI Statement
Reference (no actual letters, just names and email addresses )

And anything else requested in the position description.

Further Info:

https://ion.uoregon.edu/neuroai

Institute of Neuroscience
1254 University of Oregon
Eugene, OR 97403-1254