Postdoctoral Associate - CESSAIR and CCRI - SUNY Polytechnic Institute
About The Position
The Center for Safe and Secure AI Robotics (CESSAIR) and the Center for Cybersecurity Research and Innovation (CCRI) are looking to hire a post-doctoral associate to carry out joint research in resilience of neural networks, including large language models (LLMs) and other generative AI systems and foundation models for Robotics, against cyberattacks. The appointment is for one year, renewable for a second year, given the availability of funds. The focus is on developing credible data and analytic tools for measuring the resilience of generative AI and foundation models for robotics to cyberattacks. Developing tools and methods for actively probing for vulnerabilities is within the scope of the research. The outcome of this research will be validated on both publicly available pretrained models and training data sets and in-house, privately developed models and training data sets. Curating these private data sets and training the associated models is within the scope of this job. The successful candidate will join a multi-disciplinary research team of engineers, physicists, and other faculty at SUNY Polytechnic Institute. The position is based in Utica, NY. The successful candidate will have a doctoral degree in electrical engineering, computers science, physics, applied mathematics, or a closely related field. Required skills are proficiency in Python, deep learning frameworks such as Keras, PyTorch, TensorFlow, or other related software stacks, and a solid background in machine learning, cybersecurity, or AI robotics, and the ability or desire to design and implement experiments that probe model vulnerabilities. Experience with NLP/LLMs or generative AI, adversarial ML, software engineering practices (Git, reproducibility, experiment tracking), dataset curation, HPC/GPU programming, blockchain for secure data, C-family languages, and embodied AI/robotics are a plus. Experience with general network resilience, cellular automata, or blockchain for secure data is a plus. The successful candidate will join a multidisciplinary research team comprising mathematicians, physicists, engineers, and other faculty members at SUNY Polytechnic Institute. The position is based in Utica, NY.
Requirements
- Doctoral degree in applied mathematics, physics, electrical engineering, computer science, or related fields from college or University accredited by the US Department of Education or internationally recognized accrediting organization.
- Proficiency in Python, deep learning frameworks such as Keras, PyTorch, TensorFlow, or other related software stacks
- Solid background in machine learning, cybersecurity, or AI robotics
- Ability or desire to design and implement experiments that probe model vulnerabilities
Nice To Haves
- Experience with NLP/LLMs or generative AI, adversarial ML, software engineering practices (Git, reproducibility, experiment tracking), dataset curation, HPC/GPU programming, blockchain for secure data, C-family languages, and embodied AI/robotics
- Experience with general network resilience, cellular automata, or blockchain for secure data
Responsibilities
- Work on research projects assigned by the PI
- The duties include 1) actively seeking, reading, and discussing the research literature relevant to the project or projects in weekly group meetings; 2) identify and/or develop hypotheses and methods for advancing the research effort; 3) design and carry out computer experiments 4) collaborate with engineers to create prototypes to test the outcomes of this research; 5) write STEM papers for peer-reviewed journals and conference proceedings.
- Research projects initiated by the postdoc and approved by the PI
- The successful applicant is welcome and encouraged to propose to the PI a project of their own for part-time research and development when the demands of other grant-funded projects allow for it.
- Work on writing grant proposals
Benefits
- Research Foundation for SUNY Polytechnic Institute offers exceptional benefits such as healthcare, dental, vision, pension plans, competitive pay, generous paid time off, tuition assistance, life insurance and long-term disability insurance.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Industry
Educational Services
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
