• Job Description

  Req#: 20229
  • Position: Research Scientist in Machine Learning - Bell Labs
  • Duration: fixed term, 7 months
  • Location: Espoo, Finland
  • Education Recommendations: Candidates must either hold a PhD in machine learning or data science, computer science, applied mathematics (e.g. numerical analysis or statistical methods), or related fields, or be finalizing their PhD in near future.
  • Kindly note that we do not offer any relocation support for this role so the selected candidate should be located in Finland.

  The team you'll be part of

  The AI Research Lab at Bell Labs Solutions Research invites applications for a research scientist position (fixed term 7 months) in machine learning. The Lab has a long tradition of excellence in research and currently consists of 80 staff members with expertise in algorithmic and computing sciences, stochastic networks, information theory and machine learning. Candidates will have a strong and proven background in fields such as deep learning or privacy-preserving machine learning, and a natural interest in innovatively applying fundamental tools and methods in focused problem areas. The candidate would be working in a team consisting of machine learning scientists and engineers, including experts in deep learning and wireless communications.

  The successful applicant will conduct high-quality research in machine learning (ML) and its applications, for example in Wireless ML domain.

  
  
  

  Qualifications

  • Candidates must either hold a PhD in machine learning or data science, computer science, applied mathematics (e.g. numerical analysis or statistical methods), or related fields, or be finalizing their PhD in near future.
  • Previous experience in, for example, wireless communications, deep learning, or machine learning optimization is considered as an advantage.
  • A proven track record in a related field is preferable.

  For further information regarding this position contact
  mikko.honkala@nokia-bell-labs.com

  When applying for the position through the website, please note that we mainly consider your resume, preferably in PDF format. Other fields may be filled briefly.

  Responsibilities

  Are you passionate about solving problems? As part of our team, you will:

  • Perform research in machine learning methods and applications, e.g., in wireless AI domain. Follow machine learning and related fields to be familiar with, and to improve over, current state of the art.

  • Produce quantifiable demonstrations of your research.

  • Jointly with other members of the team, develop new machine learning methods and design new models. Implement the solutions as computer programs for evaluation. Train models with large amounts of data.

  • Actively participate in new and challenging application areas within wireless AI and participate in team efforts.

  
  

  
  
  

• About the company

  Nokia’s transition to a primary focus on telecommunications began in the 1990s. The first GSM call was made in 1991 using Nokia equipment. Rapid success in the mobile phone sector allowed Nokia to become by 1998, the best-selling mobile phone brand in the world. In 2003 Nokia introduced the first camera phone. In 2011, to address increasing competition from iOS and Android operating systems, Nokia entered into a strategic partnership with Microsoft. In 2014 Nokia sold its mobile and devices division to Microsoft. The creation of Nokia Networks, following the buy-out of joint-venture partner Siemens in 2013, laid the foundation for Nokia’s transformation into primarily a network hardware and software provider. The 2015 acquisition of Franco-American telecommunications equipment provider Alcatel-Lucent greatly broadened the scope of Nokia’s portfolio and customer base. Additional acquisitions have positioned Nokia to be an industry leader in the transition to 5G wireless technology by offering the only end-to-end 5G network portfolio available on a global basis. In 2016 the Nokia brand re-entered the mobile handset market through a licensing agreement with HMD Global, allowing them to offer phones under the Nokia brand.

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