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Optical data center - Ph.D. student

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Applied R&D
💼
BLCTO Bell Labs & CTO
📅
19000009XV Requisition #
Nokia is a global leader in the technologies that connect people and things. With state-of-the-art software, hardware and services for any type of network, Nokia is uniquely positioned to help communication service providers, governments, and large enterprises deliver on the promise of 5G, the Cloud and the Internet of Things. 
Serving customers in over 100 countries, our research scientists and engineers continue to invent and accelerate new technologies that will increasingly transform the way people and things communicate and connect.
Nokia is an equal opportunity employer that is commited to diversity and inclusion.
At Nokia, employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.

Role description
Background:
With the advent of cloud networking, datacenters have become a key part of the Internet infrastructure. The growth of datacenters is not sustainable for instance in terms of energy consumption, as current all-electronic architectures do not scale. For this reason, Bell Labs has recently proposed a novel datacenter architecture relying on forward-looking optical concepts, namely, burst optical slot switching, which has the potential to pave the way for novel applications that require strong end-to-end service (capacity, latency) guarantees. Bell Labs has already demonstrated several main components of the novel architecture, but not all of them.
We are growing our team to further develop the project and are looking for new talents. As a Ph.D. student you will have to carry one or several of the following tasks, depending on your profile:
-    Real-time control plane: implement and validate on a real-time FPGA-based embedded system: scheduling policies and other performance-related mechanisms to decrease network latency;
-    SDN control plane: implement and validate missing modules in a standard SDN controller environment for instance distributed resource allocation, hierarchical control of multidomain networks, etc.
-    Machine learning-based control plane: based on monitoring information by data center elements, adjust resource allocation in quasi real-time.
-    Application level: set up applications for distributed data centers to emulate a real load. Adapt existing protocols to the specifics of our prototype. Compare performance between legacy data centers and our prototype.

Duration: 3 years.

-       Working towards an MS degree from an Electrical and Computer Engineering / Computer Science school and

-       Basic understanding of telecommunication networks or data center networks and

-       Strong written and spoken communications skills and the ability to participate in robust discussions in English are required and

o    FGPA programming or

o    Strong programming ability, in particular, experience with ONOS preferred or

o    Strong IT knowledge and experience or

o    Strong machine learning background.

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Nokia is an equal opportunity employer that is committed to diversity and inclusion. At Nokia, employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.