Postdoctoral and Research Scientist Positions now Available for 2025
The NSF AI Institute for Foundations of Machine Learning (IFML) seeks highly qualified candidates (within five years of the award of their PhD) for a new UT ML Research Fellow Program. Appointments will begin Summer or Fall 2024.
This multi-year program will host several postdoctoral researchers working on either:
(a) foundational problems in machine learning, optimization, and statistics and their relationship to algorithmic and methodological improvements for training and deploying ML models or
(b) problems that advance the state of the art in central use-cases of large scale ML: video, imaging, and navigation or some combination of the above topics or
(c) deep learning and protein biologics, especially protein engineering and applications of large-scale tools such as AlphaFold (we encourage candidates with PhDs in biology, chemistry, biochemistry, or related fields with a background in computation to apply).
Descriptions of the scientific agenda of IFML can be found at ifml.institute.
Fellows will be able to collaborate with numerous researchers and faculty involved in IFML partner institutions: the Machine Learning Lab at UT Austin, the University of Washington, Microsoft Research (Redmond), and Wichita State University. Fellows will play a leading role in organizing seminars, workshops and other research activities. The anticipated term for a fellowship is one or two years – to be decided at the time of appointment, with the possibility of extension based on mutual agreement. In addition to competitive salary and benefits, the fellowship also includes funding for independent travel to workshops, conferences and other universities and research labs.
Simultaneous applications for a joint Simons-UT ML Research Fellowship are possible! Please indicate a simultaneous application in your materials.
Submission requirements: a CV, research statement, and two reference letters. Applications will be accepted and reviewed on a rolling basis.
Apply here: apply.interfolio.com/115070
The Center for Generative AI seeks highly qualified candidates for a new postdoc program beginning Fall 2024.
This postdoctoral fellow position will perform research within the Center for Generative Artificial Intelligence and its parent organization, the Machine Learning Laboratory. Successful candidates will be appointed within the Department of Computer Science, the Department of Electrical and Computer Engineering, or the College of Information contingent upon their immediate faculty supervisor. Applicants will be reviewed and accepted on an ongoing basis. In addition to competitive salary and benefits, the fellowship also includes funding for independent travel to workshops, conferences and other universities and research labs.
This multi-year program will host several postdoctoral researchers working on one or more of the following topics:
- Natural Language Processing
- Computer Vision
- Machine Learning for Biologics
- Machine Learning for Health/Medicine
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.
Required Qualifications
- Ph.D. earned within the last three years in the field of 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.
Required Materials
- Curriculum vitae
- Research statement
- Arrange for two references to send recommendation letters to rrice@utexas.edu.
For additional detail or to apply, please visit: utaustin.wd1.myworkdayjobs.com/en-US/UTstaff/details/Postdoctoral-Fellow--Texas-GenAI-Center_R_00032234?q=postdoctoral+machine
Purpose
Under the direction of the Director of the Center for Generative AI, the individual will, with independence commensurate with experience, perform research within the Center for Generative Artificial Intelligence and its parent organization, the Machine Learning Laboratory. Successful candidates will be appointed within either the Department of Computer Science or the Department of Electrical and Computer Engineering depending upon the applicant’s research thrust. In addition to competitive salary and benefits, this position includes funding for independent travel to workshops, conferences and other universities and research labs.
This multi-year program will host several researchers working on one or more of the following topics:
- Natural Language Processing
- Computer Vision
- Machine Learning for Biology
- Machine Learning for Health/Medicine
Responsibilities
- Read and write manuscripts for publication in peer-reviewed conferences and journals.
- 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.
- Present research findings in public forums.
- Collaborate with researchers and students at UT Austin.
- Organize seminars, workshops, and other research activities.
Required Qualifications
Master’s degree in Computer Science, Computer Engineering or a very closely related field with major coursework in these areas. Five (5) years collaborative experience post-degree. Documented experience in project management in a research setting. Excellent communication and collaborative skills, both oral and written. Professional demeanor.
Relevant education and experience may be substituted as appropriate.
Preferred Qualifications
PhD in a field related to computer science or computer engineering. Ten (10) years collaborative experience post-degree. Practical understanding of data privacy practices and laws to ensure privacy, confidentiality, security, and of IRB/Institutional approval processes.
Salary Range
$90,000 to $120,00+ (depending on education and experience)
Working Conditions
- May work around standard office conditions.
- Repetitive use of a keyboard at a workstation.
Required Materials
- Curriculum vitae
- 3 work references with their contact information; at least one reference should be from a supervisor
- Letter of interest