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/Vacatures/Researcher, Low Resolution Deep Learning Algorithms

Researcher, Low Resolution Deep Learning Algorithms

Research & development - Berkeley | More than two weeks ago

Researcher, Low Resolution Deep Learning Algorithms

Is it you we're looking for?

Are you a highly motivated researcher who has recently completed, or will soon complete, a PhD program at a top university in a relevant subject like Electrical Engineering, Computer Science, Mathematics, or Statistics? Do you aim to work in a diverse research environment among some of the world's leading researchers? Are you an excellent communicator who thrives on a multi-disciplinary team? If so, keep reading.

Imec USA is looking for a Researcher for an exciting new research program on Low power distributed and collaborative artificial intelligence (AI) leveraging on-device learning at our Berkeley location in California.

Here's what you'll do:

  • Develop reduced precision and sparse training algorithms that enable on-device learning/training at the edge.
  • Develop reduced precision mathematics and optimization techniques for supervised, unsupervised (VAE/Normalizing flows) and Reinforcement Learning.
  • Explore 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.

Key Qualifications

  • Recently completed or about to graduate from a PhD program in a top university in a relevant discipline such as Electrical Engineering, Computer Science, Mathematics, or Statistics.
  • Experience with:
    *Developing novel low resolution and sparse training algorithms for Deep neural networks, deep generative models and deep reinforcement learning.
    *Comprehensive understanding of fundamentals of DNN and RL
    *Comprehensive understanding of fundamentals of optimization theory, convex optimization, and distributed learning.
    *Designing, implementing, and training DL/RL algorithms in state of the frameworks such as Pytorch and tensor-flow
    *Designing neural 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 at top AI conferences such as NeurIPS/ICML/ICLR, 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 multidisciplinary team

About imec

Imec is a world-leading research and innovation hub in nanoelectronics and digital technologies. We leverage our world-class infrastructure and global ecosystem of partners across diverse industries to enable groundbreaking innovation in application domains, including healthcare, smart cities, mobility, logistics, manufacturing, and energy.

Imec USA, Nanoelectronics Design Center is an R&D center facilitating collaboration between imec’s Belgian headquarters and U.S.-based semiconductor and system companies, universities, and research institutes. This opportunity is based at our newest research center in Berkeley, led by long-term technology pioneer and visionary Jan Rabaey. Here, we dive into mid-to-long-term outcomes of technological evolutions. We are currently focusing on developing novel architectures for machine learning and artificial intelligence and system technology co-optimization exploration.

At imec, we believe that talent grows technology, and technology grows talent. Our informal and progressive working environment offers a range of possibilities to take the initiative and grow in responsibility.

This is imec, find your place in it.

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.