Connectionists: Opening for a Postdoctoral Researcher at Neuromorphic AI Lab

[Dhireesha Kudithipudi]

 If you are a researcher or practitioner in the field of machine learning
and are interested in working on cutting-edge neurally inspired algorithms
and systems, please consider applying for the following position:



We are seeking an exceptional postdoc to join the *Neuromorphic AI Lab* at
the University of Texas at San Antonio. At the Neuromorphic AI Lab, we work
on lifelong learning algorithms, neuromorphic accelerators, plasticity in
spiking neural networks, model compression, and emerging technologies such
as neuromemristive systems with on-device learning.



The postdoctoral researcher will contribute to our research effort towards
designing lifelong learning networks in the spiking domain, as part of two
funded research programs with federal agencies.



The project will involve development of deep spiking algorithms that
advance the state of the art in performance for complex spatiotemporal
tasks. The goal is to further advance our methodologies based on neural
plasticity, lifelong learning, and hybrid CNN-Neural models. Members of our
lab work on a broad spectrum of approaches, and the focus will be decided
according to the background and aims of the successful candidate. The
postdoc scholar will work closely with an interdisciplinary community of
researchers, including neuroscientists, computer architects, engineers, and
cognitive scientists, to design, deploy and evaluate models. The successful
candidate will also be part of a vibrant and rapidly growing AI community
at UTSA and will have access to several mentors and collaborators through
UTSA’s MATRIX AI Consortium <https://ai.utsa.edu>.



Requirements:

- PhD/DPhil (or near completion) in computer science, electrical and
computer engineering, machine learning, artificial intelligence,
computational neuroscience, or related field.

- Excellent academic track record in topics relevant to machine learning or
related areas.

- Excellent programming skills.

- Outstanding communication and presentation skills with fluency in spoken
and written English

- Established record of distinguished scholarly achievement

- Highly motivated and enjoys working in a collaborative research
environment



Key Responsibilities:

- Develop neural network algorithms and software models using different
programming languages

- Present regular progress reports on research to lab members and to
external audiences

- Author publications to disseminate and share research findings in reputed
conference and journal venues

- Provide support in the preparation of grant proposals and funding
activities

- Carry out routine administrative tasks associated with the research
(meetings and documentation) to ensure that tasks are completed on time and
within budget

- Contribute to and enhance the research activities of the Neuromorphic AI
Lab through interaction with graduates and external collaborators

- Help update and maintain a project website and other electronic vehicles
for communication of research outputs



The position is funded for up to 3 years with competitive salary and
benefits. The start date is flexible with a preference for Mid-Fall 2023.
Applications will be considered until the position is filled. To learn more
about our research activities, please visit https://www.nuailab.com/
<https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nuailab.com%2F&data=05%7C01%7Cdhireesha.kudithipudi%40utsa.edu%7C2cdf72ebbf444ca4cc7708dba4e86cae%7C3a228dfbc64744cb88357b20617fc906%7C0%7C0%7C638285090404351351%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=QqLGm9%2FxN%2B1JKnYLAGhtU7ofrK5ko%2BoIxeN7qeFKLD4%3D&reserved=0>
.



To apply, please send your detailed CV (including the contact information
of two references) and a one-page research statement, discussing how your
background fits the requirements and topic, to Dr. Dhireesha Kudithipudi,
dk at utsa.edu
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