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Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $12 billion in FY23 and approximately 26,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible. Learn more at www.analog.com and on LinkedIn.
The Automotive Electrification and Sustainable Energy (AES) Business Unit's Advanced Technology Team is looking to develop technologies to enable rapid scaling to electric vehicles and faster electrification of the energy sector. The Algorithm & Data Science Group within AES Advanced Tech Team creates advanced algorithms in the fields of machine learning, artificial intelligence, signal processing, intelligent control, and other areas of electrical engineering and computer science that are of strategic interest to the AES Business Unit’s goals and roadmaps.
We are looking for Research Scientists to join our growing Algorithm & Data Science Group. Research Scientists will work in a collaborative and hands-on environment to solve challenging problems that arise from AES’ diverse portfolio of applications and are expected to advance the scientific and technological state of the art in the areas of interest to the Business Unit.
Responsibilities
Create novel algorithms specialized for applications relevant to the Automotive Electrification and Sustainable Energy Business Unit's strategy.
Develop software simulations and analyze performance of algorithms.
Work with other researchers and engineers, inside and outside the AES Advanced Technology Team, to connect our work with the goals of the AES business units.
Lead or contribute to prototyping efforts.
Work with domain experts to define, understand, and clarify problem statements.
Derive core mathematical expression for problems of interest.
Build proof of concepts, and test environments to validate algorithms.
Work with product development engineering teams to implement algorithms.
Work with our Customers, their customers, and Research institutions to understand issues and where we can create value.
Be a lead contributor to the technical execution of projects.
Clearly and effectively communicate the results of analysis and action plans both verbally and in writing.
Stay abreast of state-of-the-art algorithms, and research advances beyond the state of the art in areas relevant to AES.
Required Skillset:
Assumes PhD degree or equivalent experience (5+ years Industrial Experience).
Should have a strong background in at least one of the following areas: Algorithm Development, Machine Learning/AI, Data Analysis, Mathematical Modeling and Simulation, Signal Processing and Filtering Methods, Control Algorithms Design.
MATLAB/Simulink, Python (Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, etc.)
Desirable Experience
Experience in battery algorithms (either traditional or ML/AI based)
Optimization Methods
Digital Signal Processing
Battery Management Systems (BMS) design and control
Experience modeling electro-chemical systems.
Location:
Wilmington/Boston, USA
For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
EEO is the Law: Notice of Applicant Rights Under the Law.
Job Req Type: Graduate JobRequired Travel: Yes, 10% of the time
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