Research Scientist in Machine Learning - Bell Labs (fixed term)
Finland
Nokia
As a technology leader across mobile, fixed and cloud networks, our solutions enable a more productive, sustainable and inclusive world.- 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.
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.
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.
- 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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Deep Learning Machine Learning Mathematics PhD Privacy Research Statistics
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