Post Doctoral Research Associate

New Jersey Institute of Technology • Newark, NJ

42d • $62,232

About The Position

This Post Doctoral Research Associate position in human-centered machine listening is funded by a National Science Foundation grant on accessible audio captioning of non-speech sounds, a collaboration between New Jersey Institute of Technology's Sound Interaction and Computing (SInC) Lab and New York University's Music and Audio Research Lab (MARL). This role will develop datasets and models for multimodal representation learning and large audio language models, designed to meet the needs of content creators and viewers of captions for online media. A successful candidate will have a research background in audio-language modeling and/or audio representation learning, and they will be expected to take a leadership role in the project, aiding in the supervision of junior researchers working on machine listening, accessibility, and system development and evaluation.

Requirements

• Doctoral degree in Computer Science, Data Science, Electrical Engineering, Music Technology, or related field.
• 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.

Responsibilities

• Advance large audio language modeling for accessible captioning of non-speech sounds.
• Publish research findings in top-tier venues (e.g., ICASSP, WASPAA, ISMIR, Interspeech, ICLR, ICML, NeurIPS, CHI, ASSETS) and present at conferences.
• Mentor graduate and undergraduate students working on related projects.
• Contribute to grant proposals and help secure future funding for the research program.
• Collaborate with our accessibility research team that works with deaf and hard-of-hearing stakeholders to understand captioning needs and designs and evaluates -system for real-world usability.
• Collaborate with industry partners and advocacy organizations to ensure research translates to practical impact.
• Other duties as assigned.

What This Job Offers

• Job Type: Full-time
• Industry: Educational Services
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees