Job Directory Intern, Math of Comm. (machine learning)

Intern, Math of Comm. (machine learning)
Holmdel, NJ

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About

Job Description

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.

Help change the way people connect with the world…

Bell Labs, the Nobel Prize winning research organization, is accepting applications for our competitive internship program.

Bell Labs defines Nokia's technological and architectural vision for the ICT industry, identifies the key challenges in this vision and invents solutions that are an order of magnitude (10X) better than existing solutions. It advises the industry on

the economics of the vision and underlying technologies, and how best to transform to most efficiently achieve the goals. Driving thought leadership among customers and the industry strengthens Nokia's role as a market leader and creator.

Discovering the possibilities that shape the human experience are at the heart of everything we do. Our interns will have the opportunity to learn from and work with world experts, and the best and brightest minds, who solve the most formidable networking and communications challenges confronting our world through disruptive innovation and research.

Our researchers are continually massively scaling the capabilities of networks from the data center to the end device, to change the way we live and work, by inventing breakthrough technologies to make networks and systems faster, smarter

and greener.

As well as providing hands-on educational and collaborative experiences for a pool of talented and highly motivated students, our internship program will expand your field of study by exposing you to an unparalleled diversity of people,

expertise and perspectives. In classic Bell Labs style, you will leave changed forever by an experience that will redefine your future.

Job description and key tasks:

A successful candidate will have strong experience in machine learning and probability.

The position involves carrying out an independent research project, with supervision from a mentor inside Bell Labs. The candidate will be required to study machine learning problems provided by the mentor, investigate state of the art solutions through literature search, test the suitability of the solutions on applicable data sets, and provide written and oral reports on findings. The work may also involve adapting existing solutions or developing new ones in order to improve results, and doing analysis to understand the factors limiting performance.

Qualifications:

Candidates must be pursuing an Ph.D. in Electrical Engineering.

They should have a strong mathematical background and good communication skills.

Must be enrolled as a full-time student.

Work Authorization:

U.S. Citizen or Permanent Resident preferred. Will accept students on F-1 Visa dependent upon program requirements or may consider sponsoring short-term J1 Visa PhD students dependent upon program

requirements.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class

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