Path 1 Kawader: Research Assistant – Software Analysis and Developer Support (SANAD) Lab
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Key skills for this role
About the Role
NYU Abu Dhabi invites applications for a Kawader Research Assistant Fellow in Computer Science to join the SANAD Lab. The role involves research in programming languages and software engineering, developing open-source tools, and contributing to scholarly publications.
Key Skills for This Role
Responsibilities
- Conduct literature reviews related to software engineering and programming languages research.
- Collect, analyze, and interpret research data.
- Design, implement, and evaluate software tools.
- Run experiments and analyze experimental results.
- Contribute to the writing of research papers and technical publications.
- Collaborate with members of the SANAD Lab on ongoing research projects.
Requirements
- Bachelor's degree in Computer Science with coursework or projects related to software engineering
- Excellent programming skills
- Strong software engineering skills, including experience with version control systems, continuous integration, and software testing
- Excellent written and verbal communication skills
- Demonstrated ability to work effectively in a collaborative research environment
- Previous research experience in software engineering (preferred)
- Experience using or developing generative AI technologies, including LLMs, for software engineering applications (preferred)
Full Job Posting
Position Overview
- NYU Abu Dhabi invites applications for a Kawader Research Assistant Fellow position in Computer Science within the Division of Science under the supervision of Dr. Karim Ali.
- The successful candidate will join the SANAD Lab, conducting research in programming languages and software engineering.
About the Lab
- SANAD (سند) means 'support' in Arabic, short for Software Analysis and Developer Support.
- The lab specializes in program analysis and software analytics, working on enhancing precision and scalability of static analyses and mining insights from software repositories.
- Ongoing projects include detecting API misuse, analyzing program performance, measuring energy consumption, detecting security vulnerabilities, supporting library migrations, and leveraging LLMs for software engineering.
What the Program Offers
- Full time paid research position for up to 3 years.
- Mentorship by internationally recognized NYUAD faculty members and researchers.
- Professional development and academic training opportunities.
- Exposure to interdisciplinary and collaborative research projects.
- Support in preparing for graduate school applications.
- Research experience in programming languages and software engineering.
Key Responsibilities
- Conduct literature reviews related to software engineering and programming languages research.
- Collect, analyze, and interpret research data.
- Design, implement, and evaluate software tools.
- Run experiments and analyze experimental results.
- Contribute to the writing of research papers and technical publications.
- Collaborate with members of the SANAD Lab on ongoing research projects.
Required Qualifications
- Bachelor's degree in Computer Science with coursework or projects related to software engineering.
- Excellent programming skills.
- Strong software engineering skills, including experience with version control systems, continuous integration, and software testing.
- Excellent written and verbal communication skills.
- Demonstrated ability to work effectively in a collaborative research environment.
Preferred Qualifications
- Previous research experience in software engineering.
- Experience using or developing generative AI technologies, including Large Language Models (LLMs), for software engineering applications.
- Previous software engineering paper submission or publication is an asset.
Application Requirements
- CV
- Statement of interest (1 page summarizing research accomplishments and research interests)
- Transcripts of all degrees
- Two letters of recommendation (for applicants with prior research experience, one letter should be from a previous research supervisor)
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