Hybrid Machine Learning Research Intern

Posted 2 hours ago

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About the role

  • Machine Learning Research Intern at Bell Labs collaborating with scientists on innovative machine learning research and thesis projects in AI and telecommunications.

Responsibilities

  • Work in a team consisting of machine learning scientists and engineers
  • Develop machine learning methods and applications
  • Carry out Master’s thesis work or research on relevant topics in machine learning

Requirements

  • Simulation and programming skills (e.g., Matlab and Python).
  • Together with the team, you should be able develop machine learning methods and applications
  • English language skills – English is preferable language of your thesis and the everyday working language in our organization.
  • M.Sc. / Ph.D. students in the relevant field (e.g., machine learning, mathematics, telecommunications, computer science, data science) with relevant programming skills. For M.Sc. students, status in studies must allow writing an M.Sc. thesis on the work topic.
  • Experience with machine learning algorithms or related topics (optimization, statistics, etc)
  • Experience with design, development and debugging software in distributed computing environments.

Benefits

  • Flexible and hybrid working schemes
  • Well-being programs to support your mental and physical health
  • Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
  • Employee Growth Solutions to support your personalized career & skills development
  • Diverse pool of Coaches & Mentors to whom you have easy access
  • A learning environment which promotes personal growth and professional development - for your role and beyond

Job title

Machine Learning Research Intern

Job type

Experience level

Entry level

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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