Offer 142 · Postdoc · Full-time

Decision, Optimization, and Learning at Caltech (DOLCIT)

California Institute of Technology (Caltech), Computing + Mathematical Sciences · Pasadena, United States

Card for the postdoctoral position Decision, Optimization, and Learning at Caltech (DOLCIT) at the California Institute of Technology (Caltech), Computing + Mathematical Sciences, in Pasadena, United States; application deadline 1 Jan 2027. The photo shows the Statue of Liberty in front of the Manhattan skyline and the Empire State Building in New York, as a symbol of the 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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