Postdoc, GenAI Center — Austin | Industry-Linked Research

University of Texas

Austin (TX)

On-site

USD 72,000 - 88,000

Full time

11 days ago

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Benefits offered by this job

Travel funding to conferences
Competitive salary and benefits

Job summary

The University of Texas at Austin invites applications for a Postdoctoral Fellow in the Texas GenAI Center. Responsibilities include publishing, presenting, and collaborating with UT researchers, with appointments possible in CS, ECE, or COI depending on supervision.

The position is 1–2 years, extendable based on funding, and includes travel funding to workshops and conferences as part of a multi-year research program on NLP, CV, ML for health/medicine.

Qualifications

  • Ph.D. earned within the last three years in computer science or engineering.
  • Productive, self-driven, and collaborative scholar with a strong publication track record.
  • Good communication skills and ability to convey research ideas to a broad audience.

Responsibilities

  • Read and write manuscripts for publication in peer-reviewed conferences and journals.
  • Present research findings in public forums.
  • Collaborate with researchers and students at UT Austin.
  • Organize seminars, workshops, and other research activities.
  • Advance collaborative projects with industry via the Machine Learning Laboratory’s industry affiliates partner program.
  • Candidate should expect to spend one day per week on industry-facing projects.

Skills

Strong publication record
Good communication skills
Self-driven, collaborative

Education

Ph.D. in CS/Engineering

Job description

The University of Texas at Austin invites applications for a Postdoctoral Fellow in the Texas GenAI Center. Responsibilities include publishing, presenting, and collaborating with UT researchers, with appointments possible in CS, ECE, or COI depending on supervision.

The position is 1–2 years, extendable based on funding, and includes travel funding to workshops and conferences as part of a multi-year research program on NLP, CV, ML for health/medicine.

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