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Info-Session: FARIA-ICSI International Researcher Fellowship

Tue, Sep 24

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Online Session

We inform about the newly launched FARIA-ICSI International Researcher Fellowship. This opportunity is open to researchers employed at the University of Helsinki or Aalto University.

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Info-Session: FARIA-ICSI International Researcher Fellowship
Info-Session: FARIA-ICSI International Researcher Fellowship

Time & Location

Sep 24, 2024, 6:00 PM – 6:45 PM

Online Session

Guests

About the event

FARIA-ICSI International Researcher Fellowship

The Finnish-American Research and Innovation Accelerator (FARIA) and the International Computer Science Institute (ICSI) invite applications from researchers, including postdocs, in the computing and data sciences to apply for a research stay of 6 to 12 months at ICSI in Berkeley, California. This opportunity is open to researchers employed at the University of Helsinki or Aalto University via the FARIA-ICSI International Researcher Fellowship. 

Structure of the Session:

  • Introduction to webinar (Dr. Mari Olafson Lundemo/FARIA) – 5 min
  • Introduction to ICSI (incl. research focus areas) by Dr. Lea Shanley, Director & CEO ICSI and colleagues – 15 min
  • ICSI Alumnus Prof. Dr. Jussi Kangasharju shares experiences – 10 min
  • Call details/practical info (Dr. Mari Olafson Lundemo/FARIA) – 5 min
  • Q&A – 10 min

Link to Call: WWW.FARIA.NETWORK/ICSI

Deadline for Application: October 11th, 2024

The International Computer Science Institute (ICSI)

The International Computer Science Institute (ICSI) is an independent non-profit research institute and an Affiliated Institute of the University of California at Berkeley. With a focus on scientific excellence and social impact, ICSI transcends disciplinary boundaries in computing and data sciences, and collaborates internationally and across sectors to inspire breakthroughs. Since 1988, we have pioneered interdisciplinary research across all areas of the computing and data sciences to generate fundamental insights, address societal challenges, and catalyze entrepreneurial opportunity.    ISCI welcomes people from all over the world and across sectors. International collaboration is central to our mission, and we have hosted visiting scientists and more than 600 postdocs from five continents. Our research impact is strengthened by the diversity of our networks and by our differences in expertise, geographies, cultures, and perspectives. We believe diverse perspectives create the best ideas.

We eschew discrimination and harassment, and cultivate an environment that welcomes women, people of color, LGBTQ+ people, and people who are members of other underrepresented communities.

ICSI is an ideal place to kick-start or accelerate your research career:

· We cultivate a friendly and welcoming environment that makes collaboration easy. You’ll quickly become an integral part of the team.

· Our researchers leverage strong ties with University of California at Berkeley, the US Department of Energy’s Lawrence Berkeley National Lab, and the Silicon Valley ecosystem to bring great ideas to fruition in whatever way is best suited to the problem at hand. As a visiting Fellow at ICSI, you can access these top experts in computer science and AI to deepen your knowledge and inspire your next steps.

· Having hosted more than 600 visitors from all over the world, we’re great at helping you obtain visas, find housing, and get everything you need to thrive during your time in California.

Research Areas of Interest

Candidates are especially encouraged to apply to collaborate with one of the following research groups at ICSI:

· AI & Big Data Group (Group Lead: Prof. Dr. Michael Mahoney): Focuses on the intersections of statistics and computer science, and of theory, implementations, and applications. The group uses methods from statistical mechanics theory of learning to solve practical problems in state-of-the-art neural networks. Recent work has focused on problems in astronomy, climate science, mass spec imaging, genetics, multimedia analysis, and social network analysis.

· Robust Deep Learning Group (Group Lead: Dr. Ben Erichson): Advances the deployment of deep learning models that are robust to various types of perturbations, including adversarial attacks, noisy data, and domain shifts. The RDL group is developing novel techniques for training deep neural networks that are resilient. Applications to domains including computer vision, natural language processing, and science and engineering.

· Internet, Networking & Systems Group (Group Leads: Prof. Dr. Scott Shenker and Prof. Dr. Sylvia Ratnasamy): Focuses on a range of topics, including: networking protocols & Internet architecture, distributed systems, technology ecosystem transformation, using compute cycles efficiently, IoT, and eclectic data.

Additional participating ICSI researchers and ICSI-affiliated UC Berkeley faculty may be found on the ICSI Mentors page.

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