Postdoctoral Fellow Full-time

Postdoctoral Fellow

As a top-10 engineering school with the No. 1 program in Texas, the Cockrell School of Engineering at The University of Texas at Austin has been a global leader in technology innovation and engineering education for over a century. With 11 undergraduate and 13 graduate programs, over 20 research centers and a faculty community that boasts one of the highest number of National Academy of Engineering members among U.S. universities, Texas Engineering has launched some of the nation's most accomplished leaders and pioneered world-changing solutions in virtually every industry, from space exploration to energy to health care. Situated in the heart of Austin — named “America's Coolest City” by Expedia and “The Best Place to Live in the U.S.” by U.S. News and World Report — the Cockrell School embodies the city's innovative spirit. Major companies with Austin campuses, such as Dell, National Instruments, Apple, IBM, Samsung, Google and many others, continue to recruit Cockrell School students at a remarkable rate, launching thousands of successful careers and developing Texas Engineers into industry leaders.

Responsibilities

• The post-doctoral fellow works with PI and other graduate students in reviewing and synthesizing existing literature to inform new proposal directions, establishing research plans, and developing advanced methodologies to explore human-AI interactive design domain.
• The position is responsible for preparing high-quality scholarly publications, presentations, and research reports, as well as attending relevant meetings, workshops, and conferences as necessary.

Required Qualifications

• Ph.D. in Mechanical Engineering or related engineering or science discipline received within the last three years.
• Track record of academic excellence and scholarly work.
• Ability to work in a multi-disciplinary team, and strong communications and presentation skills.
• Working knowledge in deep learning, cross-modal representation learning, statistics, and/or metaheuristic.
• Evidence of programming skills in Python, MATLAB, and/or R.

Salary Range

$60,000 + depending on qualifications

Working Conditions

• Work is performed in a standard office environment
• Periodic travel may be required

Required Materials

• CV
• Research statement (up to two pages)
• Two sample publications
• Three references with contact information (at least one reference should be from an academic advisor)

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume in the first step of the online job application process. Then, any additional Required Materials will be uploaded in the My Experience section; you can multi-select the additional files or click the Upload button for each file. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find Jobs. Before you apply though, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile. This information will be pulled in to your application. The application is one page and you will need to click the Upload button multiple times in order to attach your Resume, References and any additional Required Materials noted above.