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/Job opportunities/Deep Learning Research Intern Spring-Summer 2021

Deep Learning Research Intern Spring-Summer 2021

Engineering - Berkeley | More than two weeks ago

Job title

What you will do

Imec-USA is looking for a PhD student intern for an exciting new project on low power, distributed artificial intelligence (AI) at our Berkeley location for Spring or Summer 2021. In this role you will be responsible for: 

  • Developing novel training algorithms that enable on device learning/training at the edge. 
  • Exploring low resolution, low memory training techniques to overcome limitations of next generation low power compute architectures such as in-memory computing. 
  • Develop low resolution training techniques for various deep generative and reinforcement learning tasks taking into account the unique challenges that arise in compute-in-memory architectures.  

What we do for you

In exchange for your talent, passion and expertise, you will join an ambitious organization, with challenges there for the taking.  This internship offers you the opportunity to work for imec, a globally recognized leader nanoelectronics and digital technologies. You will have an assigned mentor to guide you through this highly valuable, hands on learning experience. You will work with top researchers from imec and from our industry partners. We are a not for profit research institution where you can work across a variety of projects and topics. We work close to industry, so your expertise and efforts often convert to solutions that are widely utilized and make positive impacts in the world.  Our progressive and informal working environment offers you a range of possibilities to take initiative. This is your opportunity to contribute to the technology that will determine the society of tomorrow. Your valuable contribution and that of your colleagues make imec a top player in its field. 

Who you are

  • Currently enrolled in PhD program in a top university in a relevant discipline such as Electrical Engineering, Computer Science, Artificial Intelligence, Mathematics, Statistics or Physics. 
  • Experience with:
    • Deep neural networks, deep generative models and deep reinforcement learning. 
    • Designing, implementing, and training DL/RL algorithms in state of the frameworks such as Pytorch and tensor-flow
    • Designing networks on embedded devices is a plus
    • Knowledge of computer architecture is a plus
    • Proficiency in programming with Python
  • Experience working in R&D environments with successful publications, patents or both is preferred
  • Can present your research effectively at conferences and in other technical forums. 
  • Highly motivated to work in a research environment
  • Excellent communication skills and ability to work in a multidiscipliary team

It is the policy of imec to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, ancestry, sex, sexual orientation, gender, gender identity or expression, genetic information, age, disability, medical condition, marital status, military or veteran status or any other classification protected by applicable local, state or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline and termination. Reasonable accommodations of disability and religion are available for qualified individuals, upon request, provided that such accommodation does not present an undue hardship to imec.

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