Postdoctoral Researcher - Optimization and Inference
DescriptionAL03: Algorithms / Postdoctoral Researcher - Optimization and InferenceMERLseeks a highly motivated individual to collaborate in one or more research projects on the optimization of discrete network flows in problems relating to transport and inference. Some of the application areas we are currently studying include exotic people-moving systems, wireless communications, image denoising and enhancement, and medical image interpretation. Duties will include original research, algorithm development, software implementation, and extensive simulation, testing, and analysis. The candidate may also elect to devote part of each week to independent research.
Research Area: Algorithms
Contact: Matthew Brand
Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.
- A Ph.D. in computer science or allied fields from a well-recognized institution (or equivalent training and experience); MERL will also consider exceptional candidates regardless of credentials.
- A balance of theoretical and practical orientation.
- Software prototyping and development skills.
- Background in probability, statistics, and discrete/continuous/convex optimization. Knowledge of computer vision, audition, and/or graphics a plus.
- The proven ability to make and publish fundamental innovations.
- Some relevant industrial experience.
This is a ground floor opportunity in a world-class research laboratory