Post Doctoral Research Associate

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Title: Post Doctoral Research Associate
Reports To:Professor
Position Summary:
Applications are invited for a short-term postdoctoral position on an NSF-funded project on Improving the Security of Large Language Model-Assisted Coding.
The candidate will work in New Jersey Insitute of Technology (NJIT)'s Department of Computer Science (CS), primarily with Prof. Iulian Neamtiu, and potentially with other CS faculty members.The candidate will work on a research
project that aims to improve the security of LLM-assisted coding by using
program analysis and verification to generate code with security guardrails;
specifically, expressing safety&security properties formally, encoding these
formal specifications into LLM prompts, and iteratively improving the
safety&security properties of the generated code.
Essential Functions:
Research in type-and-effect systems, and more generally static&dynamic analyses to check the reliability of LLM-generated software
Developing program analysis tools and integrating these tools into LLM-based code generation pipelines
Mining repositories of, and analyzing large open-source software, using in-house and external industrial verification tools
Presentation of results via peer-reviewed papers and domestic or international travel to professional meetings to present results
Pre-Requisite Qualifications:
Ph.D. in Computer Science
Experience, demonstrated via publications, in using automated theorem provers to check or prove safety of ML/AI implementations
Experience, demonstrated via publications, in using static and dynamic analysis to check or ensure the reliability of LLM-generated code
Experience, demonstrated via publications, in using mathematical optimization techniques to check or prove software safety
Experience, demonstrated via publications, with writing or optimizing systems-level code, e.g., to improve performance or parallelism
Experience, demonstrated via publications, with mining and analyzing large, popular, open-source software repositories at scale
Experience, demonstrated via publications, with security analysis and finding vulnerabilities in open source software
Preferred Qualifications:
Experience with type systems, specifically type-and-effect-systems
Experience with symbolic execution
Experience with industrial program analysis tools
Special Instructions for Applicant:
Applicants should have obtained a PhD in Computer Science by the starting date.
The start date of the appointment is flexible, however, earlier dates are preferred.
The appointment is for six months, with a possible renewal for up to one year, based on successful applicant performance and funding availability.
The preferred start date is October—December 2026.
Benefits are competitive and salary will be commensurate with applicant experience.
Candidates will need to submit a curriculum vitae, a list of publications, a brief statement of research interests, and the names of three professional references.
At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university an equivalent combination of education and experience specifically preparing the candidate for success in the position.
Union:United Council of Academic @ NJIT (UCAN GSRE)
Range:Post Docs
Compensation:
NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses, or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: https://hr.njit.edu/health-benefits.
FLSA:Exempt
Time Type:Full time
Pay Rate:Salary
Additional Information:
As an EEO employer NJIT is committed to building a diverse and inclusive teaching, research, and working environment and strongly encourages applications from individuals with disabilities, minorities, veterans, and women.
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