Decision, Optimization, and Learning at Caltech (DOLCIT)
California Institute of Technology (Caltech), Computing + Mathematical Sciences · Pasadena, United States

Deadline 1 January 2027Deadline 1 January 2027
In short
Caltech's Computing + Mathematical Sciences department lists a postdoctoral fellowship in Decision, Optimization, and Learning at Caltech (DOLCIT), in Pasadena. It is for researchers in machine learning, optimization and decision-making. Appointment depends on completing the PhD, and applications, including a research statement and three confidential letters of recommendation, are due on 1 January 2027.
- Full-time postdoctoral fellowship at Caltech in machine learning, optimization and decision-making.
- Appointment depends on completion of the PhD.
- Apply with a cover letter, CV, research statement and three confidential letters of recommendation.
- The research statement must address teaching, mentoring, outreach and inclusion.
- Deadline: 1 January 2027. Likely open: confirm dates and requirements on the official page before applying.
- Institution
- California Institute of Technology (Caltech), Computing + Mathematical Sciences
- Location
- Pasadena, United States
- Type
- Postdoc · Full-time
- Field
- Machine learning, optimization and decision-making
- Level
- Postdoctoral
- Deadline
- 1 January 2027
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