Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
mathematical foundations of quantum information science, broadly construed, particularly those employing methods from analysis, probability, optimization, numerical mathematics, control, or information theory
-
Mathjobs.org | 27 days ago
long term interest in building strength in discrete optimization. Requisite is a strong interest in the broad mission of the School, exceptional potential for leadership in research and education, an
-
long term interest in building strength in discrete optimization. Requisite is a strong interest in the broad mission of the School, exceptional potential for leadership in research and education, an
-
mathematical background (e.g., linear algebra, optimization, formal methods, convex geometry). 2. Master’s or PhD in Computer Science, Electrical Engineering, Control Systems, or a closely related field
-
complex application systems analysis and programming. Mathematical analysis skills to develop algorithms to implement system design requirements. Excellent communication and interpersonal skills
-
, system modelling and identification, as well as optimization and control. Your work will focus on developing new methods that integrate first-principles models with data-driven learning, supported by
-
and practice. We also welcome exceptional applicants in all research areas, noting ORIE's long term interest in building strength in discrete optimization. Requisite is a strong interest in the broad
-
, especially optimization, artificial intelligence, applied probability, statistics and machine learning, both in theory and practice. Though the position is primarily intended at a junior level, we also
-
Assistant, Associate, or Full Professor in Operations Research and Information Engineering, Cornell Tech (NYC) Applications for the position should be submitted at https
-
successful candidates will develop fundamental theory and practical algorithms that move reinforcement learning closer to real-world systems. Position 1 will focus on trajectory-centric optimization