Research Associate - School of Computer Science - LTI

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 40,000 - 70,000; Full time

Benefits offered by this job

Bus pass

Tuition benefits

Fitness center access

Retirement plan

Job summary

Carnegie Mellon University’s Language Technologies Institute seeks a Research Associate to advance multimodal fusion research. The role involves designing experiments, analyzing results, and contributing to publications within a collaborative academic team.

Responsibilities include running experiments on multimodal data, reporting progress, and presenting findings to project sponsors. A strong research background and communication skills are essential.

Qualifications

• Bachelor’s degree required.
• 1-3 years of research experience required.
• Strong communication, analytical and problem‑solving skills.
• A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.

Responsibilities

• Uses a variety of software packages to input, manipulate, collect and record results or observations.
• Performs research experiments following experimental protocol and procedures.
• Researches and documents information by compiling and maintaining accurate and detailed records.
• Summarizes statistical information for analysis, examination or presentation; writes technical reports.
• May build and validate quantitative models.
• Identifies problems and obstacles to progress; develops strategies to solve problems.
• May program software in support of job functions.
• Attends project meetings.
• Performs related duties as assigned.

Skills

Strong communication

Analytical skills

Problem solving

Programming (general)

Education

Bachelor’s degree

Tools

Programming (general)

Job description

Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands‑on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at Carnegie Mellon University is a world‑renowned research and education hub at the forefront of natural language processing, machine learning, artificial intelligence, and human‑computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding, processing, and generating human language in both written and spoken forms. LTI is seeking a Research Associate to join the team! The researcher will contribute to a multidisciplinary project investigating multimodal fusion, team dynamics, and team effectiveness. Responsibilities include designing and running experiments on multimodal data, analyzing results, developing and evaluating fusion approaches, and contributing to scientific publications. This role will also participate in meetings with project sponsors and collaborators, communicate research progress, and prepare technical presentations and project slides. The position requires strong research and analytical skills, experience with machine learning and multimodal data, and the ability to work effectively as part of a collaborative research team.

Core Responsibilities

• Uses a variety of software packages to input, manipulate, collect and record results or observations.
• Performs research experiments following experimental protocol and procedures.
• Researches and documents information by compiling and maintaining accurate and detailed records.
• Summarizes statistical information for analysis, examination or presentation; writes technical reports.
• May build and validate quantitative models.
• Identifies problems and obstacles to progress; develops strategies to solve problems.
• May program software in support of job functions.
• Attends project meetings.
• Performs related duties as assigned.

Qualifications

• Bachelor’s degree required.
• 1-3 years of research experience required.
• Strong communication, analytical and problem‑solving skills.
• A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.

Requirements

Successful completion of a pre-employment background check

Benefits

Benefits eligible employees enjoy a wide array of benefits including

• comprehensive medical, prescription, dental, and vision insurance
• a generous retirement savings program with employer contributions
• life and accidental death and disability insurance
• a free Pittsburgh Regional Transit bus pass
• access to our Family Concierge Team to help navigate childcare needs
• fitness center access

Unlock your potential with tuition benefits, take well‑deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

Location

Pittsburgh, PA

Position Type

Staff – Fixed Term (Fixed Term) Full Time/Part time Part time

Pay Basis

Hourly

Equal Opportunity

Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance Interested in a career with Carnegie Mellon University but not finding anything that currently aligns with your interests, background, or experience? Learn how to sign up for Job Alerts through your candidate profile. If your heart is in your work, come work with us. We cultivate a vibrant, welcoming environment where everyone is valued and encouraged to contribute and achieve. We are committed to providing an accessible experience throughout our recruitment process. If you need assistance or a reasonable accommodation at any stage of the application, interview, or hiring process, please contact Equal Opportunity Services by email at [e-mail] or by phone at 412-268-5072.

Please see Faculty Careers.

For technical assistance, email HR Services or call 412-268-4600.