Connectionists: Open PhD position in Bio-Inspired Lifelong Learning

[Dhireesha Kudithipudi]

Open PhD position in Bio-Inspired Lifelong Learning at the Neuromorphic AI
Lab, University of Texas at San Antonio

Preferred Start Date: 08/01/2021 (Flexible)



We are seeking a Ph.D. student to join in an exciting new research project
-- designing bio-inspired AI models for lifelong learning scenarios--
funded by multiple agencies. Specifically, the candidate is expected to
study and develop algorithms with theoretical formulations. A successful
candidate will be able to propose novel algorithmic approaches and provide
strong mathematical proof for the former, towards solving
challenges/addressing knowledge gaps in lifelong learning. The successful
candidate will also be part of a rich and emerging AI community, within the
newly established UTSA AI consortium (MATRIX). The MATRIX consortium
engages with the private sector, academia, and the greater San Antonio
community to advance the state of the art in human-aware AI.



Qualifications and requirements:

1.     Master's degree, or equivalent, in a discipline related to computer
science, computer engineering, statistics, information processing,
computational neuroscience, and/or machine learning.

2.     Background and/or strong interest in developing skills in
statistical analysis, mathematics for machine learning, quantitative
methods, probability theory.

3.     Knowledge in programming, preferably in Python or R or Java,
understanding of data structures, data modeling ( SQL ) and software
architectures.

4.     Familiarity in deep learning frameworks and libraries is
preferred(Tensorflow/TensorRT, Pytorch, Keras, or similar) and data
analysis libraries ( Pandas, numpy, matplotlib, scikit-learn, seaborn, etc).

5.     Willingness to learn and write robust code using new frameworks or
programming languages based on the project requirements.

6.     The successful candidate will be expected to design and perform
independent research and publish papers in refereed top conferences and
journals.

7.     Candidates should keep abreast of the latest developments in the
field and develop strong research aptitude.

8.     Good written and verbal communication skills are essential.

9.     A collaborative spirit and the ability to work as part of an
interdisciplinary team are essential.

How to Apply: The position will remain open until filled. Applications can
be submitted via email to Dr. Kudithipudi (dk at utsa.edu).

Applications should be submitted as a single PDF file:

1.     Cover letter describing your motivation for applying to this
position (1 paragraph)

2.     CV and unofficial academic transcripts (with grades if applicable)


Best Regards

Dhireesha
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20210422/8e73acd8/attachment.html>