The team you'll be part of
You will be joining Visual AI Systems Research team to build the next generation of AI-enabled multimedia systems and tools. The team performs as part of multimedia unit, which has been at the forefront of audio and video research and standardization for decades. You will be having significant role in the development of future multimedia technologies.
HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN
What you will learn and contribute to
As part of our team, you will:
- contribute to the research and development of AI-based multimedia tools.
- design and develop algorithms to improve neural network compression.
- act as a delegate to multimedia standardization forums and represent Nokia.
publish your research in conferences and journals
KEY SKILLS AND EXPERIENCE
Your skills and experience
You have:
- a PhD degree in machine learning, computer science, signal processing, electrical engineering, or related field, with minimum 1 years of industrial work experience after completion of PhD in a relevant domain or equivalent overall industrial exposure and experience that matches a PhD and work experience.
- Strong information theory basis, understanding context models and information coding, strong mathematical and algorithmic design skills, solid understanding of machine learning in specific deep neural networks.
- Excellent programming skills including python and c/c++ combined with knowledge of at least one machine learning framework like pytorch or tensorflow.
- Strong verbal and written communication skills.
- Background in standardization and innovation
- Knowledge of neural network compression
It would be nice if you also had:
- Knowledge of neural video codecs
- Understanding MLOPs and knowledge of utilising such practices.
- Knowledge of using GPU and CPU computing resources.
Publication in top-tier conferences and journals like (CVPR, ICCV, ECCV, ICML, PAMI, IJCV, and alike)
About Us
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
What we offer
Nokia offers 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
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. About the Team Nokia Technologies is licensing Nokia intellectual property, including patents, technologies, and the Nokia brand, building on Nokia's continued innovation and decades of R&D leadership in technologies deployed in virtually all connected
devices used today. Come join us and make an impact! Job Info
- Job Category Pure Research
- Posting Date 11/04/2024, 06:48 AM
- Locations Karaportti 4, Espoo, 02610, FI Hatanpaan Valtatie 30, Tampere, 33100, FI (Hybrid)
- Degree Level Doctor's Degree (e.g PhD)
- Job Schedule Full time
- Role Type Individual contributor
- Job Identification 13037
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