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Head of Applied Analytics and Algorithms Research

📁
Pure Research
💼
ST Strategy & Technology
📅
2200000L3K Requisition #

Come create the technology that helps the world act together

 

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.


We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work.

 

 

The team you'll be part of

 

Nokia Bell Labs is the world-renowned research group of Nokia, having invented many of the foundational technologies that underpin information and communications networks and all digital devices and systems. Our Integrated Services & Experiences lab creates end-to-end solutions and experiences by turning disruptive research and technologies into practical systems. We aim to create new value for markets like industry, logistics, transportation, health, enterprises. 

 

 

What you will learn and contribute to 

 

As part of our team, you will:

  • Lead the team researching technologies connecting our physical and digital worlds: visualizations, localization, and spatial video analytics
  • Create synergies with other research groups – in particular robotics, drones and maths organizations.
  • Recognize and forge strong relationship with Business Units, particularly Enterprise Solutions and our Incubation unit. 
  • Transfer key technology assets and prototypes.
  • Ensure success in IP generation (patents) and best-in-class publications and communications.
  • Recruit new, excellent and diverse researchers to the team.

 

 

Your skills and experience

 

 You have:

  • Leadership and People management skills: at least 3 years of experience building, leading, growing a research team
  • Master's degree in computer science, applied mathematics or related domain
  • Ability and eagerness to deliver world class research results in the space of applied Analytics and Algorithms for physical & digital world fusion
  • Experience building and driving innovation partnerships with a culture geared towards impact and value creation, preferably in the enterprise / industrial domain.
  • Excellent presentation and communication skills
  • Operational management skills (program / project management)

 

It would be nice if you also had:

  • Experience and domain knowledge in industrial / vertical domains (manufacturing, logistics, agriculture, public safety, utilities, transportation, robotics)
  • PhD degree in the domain (applied analytics, algorithms for digital / physical world fusion)

 

What we offer

 

Nokia offers flexible and hybrid working schemes, continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

 

Nokia is committed to inclusion and is an equal opportunity employer

 

Nokia has received the following recognitions for its commitment to inclusion & equality:

  • One of the World’s Most Ethical Companies by Ethisphere
  • Gender-Equality Index by Bloomberg
  • Workplace Pride Global Benchmark
  • LGBT+ equality & best place to work by HRC Foundation

At Nokia, we act inclusively and respect the uniqueness of people.

 

Nokia’s 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.
We are committed to a culture of inclusion built upon our core value of respect.

 

Join us and be part of a company where you will feel included and empowered to succeed.

 

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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.