3 PhDs, Digital Twins, Operational Analytics, and Reconfigurable Computing at Vrije Universiteit Amsterdam
Nunavut, Nunavut, Canada -
Full Time


Start Date

Immediate

Expiry Date

24 Apr, 25

Salary

2.901

Posted On

24 Jan, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Research, Max, English

Industry

Information Technology/IT

Description


    • Nieuwe Universiteitsgebouw (NU)

    • Amsterdam
    • 1 / 1
    • Faculty of Science
    • PhD
    • MSc
    • Closes on31-03-2025
    • Publishing date21-01-2025
      Join a groundbreaking collaboration in the 6G FNS project, advancing ICT through infrastructure simulation, digital twins, reconfigurable computing, and serverless computing. Apply now to shape the future of technology!
    Responsibilities

    The PhD candidate will work on identifying relevant application domains for the FNS 6G project (e.g., data analytics, network functions, and data plane acceleration tasks) and investigating key research questions, including:

    • What techniques and abstractions are most effective for designing and optimizing applications for reconfigurable computing architectures (HW/SW co-design)?
    • How can reconfigurable computing devices be seamlessly integrated into heterogeneous deployment and leveraged in large-scale computing workflow?
    • How can simulation tools enable systematic and efficient mapping of distributed applications onto heterogeneous infrastructures

    The PhD candidate will work on identifying relevant application domains for the FNS 6G project (e.g., data analytics, network functions, and data plane acceleration tasks) and investigating key research questions, including:

    • What techniques and abstractions are most effective for designing and optimizing applications for reconfigurable computing architectures (HW/SW co-design)?
    • How can reconfigurable computing devices be seamlessly integrated into heterogeneous deployment and leveraged in large-scale computing workflow?
    • How can simulation tools enable systematic and efficient mapping of distributed applications onto heterogeneous infrastructures
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