Connectionists: PhD Student Position available Spring/Fall 2027 — AI in Biomedical Engineering

[Yu (Andy) Huang]

PhD Student Position available Spring/Fall 2027 — AI in Biomedical
Engineering
H-Lab | Department of Computer Science | University of Colorado at Colorado
Springs (UCCS)

PI: Yu (Andy) Huang, Ph.D. — Assistant Professor, Department of Computer
Science, UCCS
Contact: *yhuang6 at uccs.edu* <yhuang6 at uccs.edu>

*About the Lab*

The newly established H-Lab, directed by Dr. Huang, sits at the boundary
between physics, engineering, computer science, and biomedicine. Dr. Huang
was trained as a biomedical engineer and created ROAST, the field-standard
open-source pipeline for personalized modeling of transcranial electric
stimulation (TES), spending five years helping commercialize it in industry
before returning to academia. He has also built machine-learning systems,
developed with practicing radiologists, that detect disease from medical
images at expert-level accuracy. The H-Lab’s current interests focus on
developing AI systems for biomedical engineering and bioinformatics. Future
interests include understanding modern deep-learning systems, embodied AI,
neuromorphic computing, and artificial life. For the lab’s longer-term
research visions, please refer to the *PI’s webpage*
<https://andypotatohy.github.io/>.

*Research directions*

We are recruiting one PhD student to help build AI systems for biomedical
engineering & informatics. Specific research topics include but not limited
to:


   - Algorithms development
   - Image processing, computer vision
   - Computational photography
   - Finite element modeling
   - Machine learning, deep learning
   - Large language models
   - Open-source software development
   - Synergistic activities from topics above with AI, such as agentic AI,
   AI for scientists, and AI for engineers
   - Philosophy of AI


The successful candidate will have access to deep-learning machines and
high-performance computing clusters at UCCS with hundreds of GPUs. The
successful candidate will also have opportunities to collaborate with the
medical device industry and prestigious medical centers.

If any of this excites you, we want to hear from you.

*What you must have:*


   - Bachelor’s and/or Master's degree in computer science, electrical
   engineering, biomedical engineering, physics, applied mathematics, or
   related areas.
   - Good programming knowledge and experience with Python and/or MATLAB.
   - Fluent written and spoken English.
   - Enthusiasm for cutting-edge research, team spirit, and capability of
   independent problem-solving.


*It’s nice to also have:*


   - Interest, prior knowledge and experience in one or more of the
   following: machine learning, deep learning, computational neuroscience,
   biomedical signal/image processing, finite element modeling, scientific
   computing, large language models, agentic AI, and philosophy of AI
   - Prior research experience (thesis, publications, open-source
   contributions)


*How to Apply*

The position will open in Spring 2027 or Fall 2027 semester, fully funded
with stipend and tuition waiver for 2 years. Interested applicants should
apply via *the department website*
<https://eas.uccs.edu/academics/programs/computer-science-phd#admission-details>
 *by October 1st* for the Spring admission or *by February 1st* for the
Fall admission. Applicants should note in their Personal Statement on *which
research direction(s) above interest you most and why*, and *mention Dr.
Huang as your doctoral advisor*. Applicants are also encouraged to send
their CV and unofficial transcript in PDF format to Dr. Huang at
*yhuang6 at uccs.edu* <yhuang6 at uccs.edu>.

*Why UCCS Computer Science*

One of the few departments nationally offering both a PhD in Computer
Science and a standalone PhD in Cybersecurity — the latter designated an
NSA National Center of Academic Excellence in Cyber Research (CAE-R), the
first such designation in Colorado.
Faculty expertise spanning AI, machine learning, computer vision, NLP,
biomedical informatics, cybersecurity, computer networks, software
engineering, and multiagent systems, across 10 cross-disciplinary research
labs.
Research funded by NSF, DoD, and AFOSR, including four NSF CAREER awards
and an AFOSR Young Investigator award among current faculty.
Located in Colorado Springs, with deep aerospace, defense, and tech
industry ties (alumni at Google, IBM, Lockheed Martin, MITRE, Northrop
Grumman, and beyond) and a fast-growing research profile.

-- 
*Yu (Andy) Huang, Ph.D.*

Tenure-track Assistant Professor of Computer Science
Department of Computer Science
University of Colorado at Colorado Springs
1420 Austin Bluffs Pkway, Colorado Springs, CO 80918
Email: yhuang6 at uccs.edu, andypotatohy at gmail.com
Website <https://andypotatohy.github.io/>
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