Staff - Research Scientist - Control & Learning

Staff - Research Scientist - Control & Learning

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

At a Glance

  • Tasks: Conduct original research in control & learning theory for industrial applications.
  • Company: Join Mitsubishi Electric Research Laboratories, a leader in technology and innovation.
  • Benefits: Enjoy opportunities for publishing, collaboration, and a supportive research environment.
  • Why this job: Make a real impact on smart factories and electrification while advancing your career.
  • Qualifications: Ph.D. in relevant fields with a strong publication record and teamwork skills required.
  • Other info: Equal opportunity employer committed to diversity and inclusion.

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 & Learning

Mitsubishi Electric Research Laboratories (MERL), the US subsidiary of the corporate research & development (CR&D) organization of Mitsubishi Electric Corporation, invites qualified candidates to apply for the position of Research Scientist to join the Electric Systems Automation team. Aiming to be a premiere research laboratory and the prime source of technology for Mitsubishi Electric Corporation in our areas of expertise, MERL conducts application-motivated research and development that advances the frontiers of technology and makes lasting impacts on the world. MERL supports and encourages publishing and presenting research results in top international conferences and peer-reviewed journals, collaborating with university professors and students, and maintaining an influential presence in the academic community.

Our team conducts fundamental research and development to solve challenging industrial problems in the quest for smart factory and electrification, including, but not limited to, multi-physics modeling, simulation and system optimization, fault diagnosis, and optimal & learning control. We are seeking a candidate who can complement and expand the expertise of our team in the intersection of machine learning/AI, optimization, and control.

Responsibilities for this position include:

  • Conducting original research aiming to advance the state-of-the-art in control & learning theory for the potential application to industrial process planning, process optimization, factory automation systems,
  • Publishing results in leading technical journals, conferences, and in patent applications,
  • Partnering with CR&D, business units, and academic groups in the execution of projects,
  • Transferring results and technology to CR&D laboratories, and business units.
  • Drafting project proposals with long-term research goals and leading research projects.

Qualifications for this position are:

  • Ph.D. from an internationally recognized institution in Electrical Engineering, Mechanical Engineering, Computer Science, or other relevant fields,
  • Strong publication record demonstrating innovative research achievements,
  • Experience with real-world applications and strong depth in control & learning, and
  • Strong teamwork, communication, writing, presentation, and leadership 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.

#J-18808-Ljbffr

Staff - Research Scientist - Control & Learning employer: Mitsubishi Electric Research Laboratories, Inc.

Mitsubishi Electric Research Laboratories (MERL) is an exceptional employer that fosters a collaborative and innovative work culture, encouraging research scientists to push the boundaries of technology in control and learning. Located in the vibrant tech hub of the US, MERL offers competitive benefits, opportunities for professional growth through publishing and collaboration, and a commitment to diversity and inclusion, making it an ideal place for those seeking meaningful and impactful careers in research.
M

Contact Detail:

Mitsubishi Electric Research Laboratories, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff - Research Scientist - Control & Learning

✨Tip Number 1

Network with professionals in the field of control and learning. Attend relevant conferences or workshops where you can meet researchers and industry experts. This can help you gain insights into the latest trends and potentially lead to referrals.

✨Tip Number 2

Engage with academic publications and research papers related to machine learning and control systems. Being well-versed in current literature will not only enhance your knowledge but also provide talking points during interviews.

✨Tip Number 3

Showcase your collaborative skills by participating in group projects or research initiatives. Highlighting your ability to work effectively in teams can set you apart, especially since the role involves partnering with various groups.

✨Tip Number 4

Prepare to discuss your past research experiences in detail. Be ready to explain how your work has contributed to advancements in control and learning, as this will demonstrate your capability to conduct original research in the role.

We think you need these skills to ace Staff - Research Scientist - Control & Learning

Ph.D. in Electrical Engineering, Mechanical Engineering, Computer Science, or related fields
Strong publication record in technical journals and conferences
Expertise in control theory and learning algorithms
Experience with multi-physics modeling and simulation
Knowledge of system optimisation techniques
Proficiency in fault diagnosis methods
Familiarity with industrial process planning and factory automation systems
Strong teamwork and collaboration skills
Excellent communication and presentation abilities
Leadership skills for managing research projects
Ability to draft project proposals with long-term research goals
Experience in partnering with academic groups and business units
Understanding of machine learning and AI applications in industrial contexts
Adaptability to evolving research challenges

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications for the Research Scientist position. Familiarise yourself with the specific areas of expertise mentioned, such as control & learning theory and machine learning/AI.

Highlight Relevant Experience: In your CV and cover letter, emphasise your Ph.D. and any relevant research experience. Showcase your publication record and any projects that demonstrate your skills in control, learning, and optimisation.

Tailor Your Application: Customise your application materials to reflect how your background aligns with MERL's goals. Mention specific projects or experiences that relate to their focus on smart factory solutions and industrial process optimisation.

Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the impact you hope to make at MERL. Be sure to mention your teamwork and communication skills, as these are crucial for the position.

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 solutions you've developed, especially those related to control and learning theory, as this aligns closely with the role.

✨Demonstrate Teamwork Skills

Since collaboration is key at Mitsubishi Electric Research Laboratories, share examples of how you've successfully worked in teams. Emphasise your communication and leadership skills, as these will be crucial for partnering with various groups.

✨Prepare for Technical Questions

Expect to face technical questions that assess your knowledge in machine learning, optimisation, and control systems. Brush up on relevant theories and applications, and be ready to explain complex concepts clearly.

✨Discuss Your Publication Record

Your publication history is important for this role. Be ready to talk about your published work, the impact it had, and how it relates to the position. This shows your commitment to advancing technology and your ability to contribute to MERL's goals.

Land your dream job quicker with Premium

Your application goes to the top of the list
Personalised CV feedback that lands interviews
Support from real people with tickets
Apply for more jobs in less time with AI support
Go Premium

Money-back if you don't land a job in 6-months

M
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>