Postdoctoral Researcher, Texas AI Hub

University of Texas at Austin8 months ago
Austin, TX, United States
Hybrid
Full-time
Junior Level (1-3 years)

Job Description

Qualifications

  • To be considered for this position, applicants must hold a Ph.D. earned within the last three years in the field of computer science or engineering
  • A strong track record of publications, excellent communication skills, and ability to convey research ideas to a broad audience are essential

Benefits

  • The fellowship includes a competitive salary, comprehensive benefits package, and funding for independent travel to workshops, conferences, and other universities and research labs
  • Successful candidates will also have opportunities to develop their teaching skills and participate in departmental service

Responsibilities

  • This postdoctoral fellow position will be part of a multi-year program focused on advancing state-of-the-art techniques in natural language processing, computer vision, machine learning for biologics, and machine learning for health/medicine
  • The successful candidate will work under the guidance of leading researchers in the field and have opportunities to collaborate with faculty members, students, and industry partners
  • The postdoctoral fellow will be responsible for conducting original research in one or more of the focus areas mentioned above
  • Read and write manuscripts for publication in peer-reviewed conferences and journals
  • Presentation of research findings in public forums
  • Collaboration with researchers and students at UT Austin
  • Organization of seminars, workshops, and other research activities
  • Participation in industry-facing projects through the Machine Learning Laboratory's industry affiliates partner program

Full Description

Job Overview

The University of Texas at Austin seeks a highly motivated and talented Postdoctoral Fellow to join the Center for Generative Artificial Intelligence. This is an exciting opportunity to contribute to cutting-edge research in artificial intelligence and machine learning.

About the Position

This postdoctoral fellow position will be part of a multi-year program focused on advancing state-of-the-art techniques in natural language processing, computer vision, machine learning for biologics, and machine learning for health/medicine. The successful candidate will work under the guidance of leading researchers in the field and have opportunities to collaborate with faculty members, students, and industry partners.

Responsibilities

The postdoctoral fellow will be responsible for conducting original research in one or more of the focus areas mentioned above. Key responsibilities include:

  • Read and write manuscripts for publication in peer-reviewed conferences and journals.
  • Presentation of research findings in public forums.
  • Collaboration with researchers and students at UT Austin.
  • Organization of seminars, workshops, and other research activities.
  • Participation in industry-facing projects through the Machine Learning Laboratory's industry affiliates partner program.

Requirements

To be considered for this position, applicants must hold a Ph.D. earned within the last three years in the field of computer science or engineering. A strong track record of publications, excellent communication skills, and ability to convey research ideas to a broad audience are essential.

Benefits

The fellowship includes a competitive salary, comprehensive benefits package, and funding for independent travel to workshops, conferences, and other universities and research labs. Successful candidates will also have opportunities to develop their teaching skills and participate in departmental service.

Employment Eligibility

Please note that employment eligibility verification will be required for finalist(s) under consideration for this position.

Required Skills

Health/Medicine
Natural Language Processing
Seminar Organization
Machine Learning
Collaboration
Computer Vision
Biologics
Research Publication
Communication