What are the responsibilities and job description for the Internship - Low-complexity Model Predictive Control position at Mitsubishi Electric Research Laboratories?
MERL is seeking a highly motivated intern to research low-complexity (i.e., computationally efficient) formulations of model predictive control (MPC). Candidates should be currently enrolled in a PhD program and have theoretical background in MPC (e.g., an understanding of standard proofs of stability) and relevant concepts in convex optimization (e.g., an understanding of interior-point, active set, and first-order optimization methods). An ideal candidate would have prior research experience related to suboptimal MPC, real-time iterations strategies for MPC, and / or other low-complexity approximation methods for MPC, and convex optimization.
Publication of results produced during the internship is expected. The duration of the internships are 3-6 months, and the start dates are flexible.
Required Specific Experience
- Current enrollment in a PhD program in Aerospace, Mechanical, Electrical Engineering, or a related field
- Understanding of fundamental theoretical concepts in MPC (e.g., proofs of stability, recursive feasibility, etc.)
- Familiarity with optimization algorithms commonly used in MPC (e.g., interior-point, active set, and first-order methods)
- Strong programming skills in MATLAB, Python, and / or C / C .
Additional Desired Experience
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.
Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and / or modify job responsibilities, compensation, benefits, and / or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.
