Staff - Research Scientist - Control for Autonomous Systems
Staff - Research Scientist - Control for Autonomous Systems

Staff - Research Scientist - Control for Autonomous Systems

Cambridge Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team to conduct innovative research in control and planning for autonomous systems.
  • Company: Mitsubishi Electric Research Laboratories is a leading US research organisation focused on real-world problem-solving.
  • Benefits: Enjoy opportunities for publishing, collaboration, and potential remote work options.
  • Why this job: Be part of cutting-edge research that impacts technology and society while working in a supportive environment.
  • Qualifications: Ph.D. in relevant fields with strong programming skills; experimental validation experience is a plus.
  • Other info: Candidates at any career stage are welcome; title and role adjusted based on experience.

The predicted salary is between 36000 - 60000 £ per year.

Career Opportunities with Mitsubishi Electric Research Laboratories

A great place to work.

Current job opportunities are posted here as they become available.

Staff – Research Scientist – Control for Autonomous Systems

Mitsubishi Electric Research Laboratories (MERL), the US research organization of Mitsubishi Electric Corporation, is looking for a talented researcher to join the Control for Autonomy Team. MERL conducts fundamental research motivated by real-world problems, and then applies the results to demonstrate the solutions of such problems. MERL encourages publishing and presenting research results, and collaborating with academia and the scientific community. The Control for Autonomy Team focuses on planning, control and estimation for autonomous systems leveraging novel fundamental research in control theory, optimization, estimation and machine learning.

The research areas for the open position include, but are not limited to, design with guarantees and analysis of machine learning-based controllers, perception (e.g., vision, point-cloud, …) based planning and control, control for human-in-the-loop and human-machine interaction, real-time optimization algorithms, statistical learning and estimation, and constrained control. Candidates at any career stage are considered, with title and role adjusted based on prior experience.

Responsibilities for this position include:

  • Conduct innovative fundamental research in the areas of control and planning for autonomous systems, and apply the research results in relevant domains.
  • Validate the research results by simulations and possibly experiments with prototypes/lab equipment.
  • Publish results in leading technical journals and conferences, and support drafting patent applications.
  • Support technology transfer to partner organizations such as advanced engineering and product development labs.
  • Define new long-term research directions and propose and lead research projects.

Qualifications for this position are:

  • Ph.D. from an internationally recognized institution in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science or Applied Mathematics or other relevant fields, with a focus on control theory and/or machine learning.
  • Strong programming skills in at least one of Python, Matlab, C/C++, Julia. Basic knowledge or interest in real-time/embedded systems programming is a plus, but not required.
  • Interest in experimental validation of research results, e.g., with drones, small ground robots, legged robots. Prior experience in experimental validation is a plus, but not required.
  • Teamwork, communication (oral, and written) and presentation skills.

PRINCIPALS ONLY. No phone calls please.

Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer.

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.

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Staff - Research Scientist - Control for Autonomous Systems employer: Mitsubishi Electric Research Laboratories, Inc.

Mitsubishi Electric Research Laboratories (MERL) is an exceptional employer that fosters a collaborative and innovative work culture, ideal for researchers passionate about solving real-world problems in autonomous systems. With a strong emphasis on employee growth, MERL provides opportunities for publishing research, engaging with the scientific community, and leading cutting-edge projects, all within a supportive environment located in the vibrant tech hub of the U.S. This role not only offers competitive benefits but also the chance to contribute to groundbreaking advancements in control theory and machine learning.
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Contact Detail:

Mitsubishi Electric Research Laboratories, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff - Research Scientist - Control for Autonomous Systems

✨Tip Number 1

Familiarise yourself with the latest advancements in control theory and machine learning. This will not only help you understand the research landscape but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.

✨Tip Number 2

Network with professionals in the field by attending relevant conferences or workshops. Engaging with experts can provide insights into the company culture at Mitsubishi Electric Research Laboratories and may even lead to referrals.

✨Tip Number 3

Prepare to discuss your previous research experiences in detail, especially any experimental validation work you've done. Being able to articulate your contributions and the impact of your research will set you apart from other candidates.

✨Tip Number 4

Stay updated on the latest publications from MERL and their Control for Autonomy Team. Referencing their work in your discussions can demonstrate your genuine interest in the position and the organisation's goals.

We think you need these skills to ace Staff - Research Scientist - Control for Autonomous Systems

Ph.D. in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science or Applied Mathematics
Strong programming skills in Python, Matlab, C/C++, or Julia
Knowledge of control theory and machine learning
Experience with real-time/embedded systems programming (preferred but not required)
Experimental validation of research results
Teamwork and collaboration skills
Excellent communication skills (oral and written)
Presentation skills
Research project management
Ability to publish in leading technical journals and conferences
Understanding of planning, control, and estimation for autonomous systems
Familiarity with statistical learning and estimation techniques
Knowledge of optimization algorithms
Interest in human-in-the-loop and human-machine interaction

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in control theory, machine learning, and programming skills. Emphasise any research projects or publications that align with the responsibilities of the role.

Craft a Strong Cover Letter: Write a cover letter that clearly outlines your motivation for applying to Mitsubishi Electric Research Laboratories. Discuss how your background and research interests align with the Control for Autonomy Team's focus areas.

Showcase Your Research Experience: In your application, detail any innovative research you've conducted, particularly in planning and control for autonomous systems. Mention any experimental validation you’ve done, especially with drones or robots.

Highlight Teamwork and Communication Skills: Since collaboration is key at MERL, include examples of successful teamwork and communication in your application. This could be through group projects, presentations, or publications where you played a significant role.

How to prepare for a job interview at Mitsubishi Electric Research Laboratories, Inc.

✨Showcase Your Research Experience

Be prepared to discuss your previous research projects in detail. Highlight any innovative approaches you've taken, especially in control theory or machine learning, and how they relate to the role at Mitsubishi Electric Research Laboratories.

✨Demonstrate Programming Proficiency

Since strong programming skills are essential, be ready to talk about your experience with Python, Matlab, C/C++, or Julia. Consider bringing examples of your code or projects that showcase your abilities in real-time systems or simulations.

✨Prepare for Technical Questions

Expect technical questions related to control systems, optimization, and estimation. Brush up on fundamental concepts and be ready to solve problems on the spot, as this will demonstrate your analytical thinking and problem-solving skills.

✨Emphasise Teamwork and Communication Skills

Mitsubishi Electric values collaboration, so be sure to highlight your teamwork experiences. Share examples of how you've effectively communicated complex ideas to both technical and non-technical audiences, as well as any presentations you've delivered.

Staff - Research Scientist - Control for Autonomous Systems
Mitsubishi Electric Research Laboratories, Inc.
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