🌎
This job posting isn't available in all website languages

Settings

For Nokia Internal Employee access Log in here

Join us at Nokia to connect the world

Search jobs

Trainee in Security: Data Privacy Research

📁
Corporate Services
💼
BLCTO Bell Labs & CTO
📅
190000056X Requisition #
Apply for Job
Share this Job
Sign Up for Job Alerts
Nokia is a global leader in the technologies that connect people and things. With state-of-the-art software, hardware and services for any type of network, Nokia is uniquely positioned to help communication service providers, governments, and large enterprises deliver on the promise of 5G, the Cloud and the Internet of Things. 
Serving customers in over 100 countries, our research scientists and engineers continue to invent and accelerate new technologies that will increasingly transform the way people and things communicate and connect.
Nokia is an equal opportunity employer that is commited 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.

This position focuses on developing novel statistical and machine learning approaches to data privacy, with a data and statistical-centric focus (as opposed to a purely legal/ethical one).
Data Privacy is a difficult and ill-defined concept, usually centered around the legal needs of non-reidentification of individuals, among others. At Nokia Bell Labs, we have developed frameworks and mathematical tools to address some of these concerns in very specific and narrow use cases.
Our current research makes use of information theory, statistics and linear algebra, to overcome some of the problems related to measuring privacy and data usability. One of the main long term goals lies in establishing a use case specific metric for privacy and balance it against another data usability metric, for example. This in order to establish what is a sufficient (but not too high) data anonymization “threshold”, again in a very specified context and use case. See for example recent publication at https://link.springer.com/article/10.1007/s12559-018-9604-7 .
We are looking toward extending such aspects to other use cases, as well as generalising the concepts we have developed. Also, tackling the problem of multiple data sources and cross-referencing entries for re-identification of individuals (or devices…).
This work is mostly theoretical research driven, with potentially advanced group/set theory mathematics and statistics needs. We strive to demonstrate concrete use cases applications of our theoretical work, though, and demonstrators on real data are a must in this work.

You have (or are working towards) a Master degree (ideally a doctorate or working towards one) in Mathematics, Statistics, Machine Learning or a similarly relevant field, with strong experience (academic or industry) in performing research along uncertain directions but with a clear, concrete goal in sight.

You have a good knowledge of Information Theory, with notions on non-Euclidean geometry and metric spaces.
You can program prototypes and working implementations of your theoretical work and research, for example in languages such as Python, and are ready to create such demonstrators of your work.

You are willing to share your expertise with your colleagues. You meet deadlines, identify risks and make an alternative plan accordingly to ensure the outcome of your tasks. You are comfortable in a complex, global product development environment where security development is one key success factor. In addition to being technically skilled you are an effective communicator. To express ideas effectively in our multicultural environment, it is essential that you speak and write English with confidence. As an individual, you are independent-minded yet supportive of your peers. Always ready to take responsibility for your actions and ready to make decisions when needed, you strive for quality in your work. You understand the security needs in the industry of today. You want to work as a researcher in a word-leading research unit at Nokia Bell Labs.

Previous Job Searches

My Profile

Create and manage profiles for future opportunities.

Go to Profile

My Submissions

Track your opportunities.

My Submissions
Life at Nokia
Explore Employee Blogs
We create the technology to connect the world

Stay in touch with us through our social media channels:

Follow us on Facebook
Follow us on LinkedIn
See us on Glassdoor
Follow us on Twitter

Similar Listings

MN Mobile Networks

Espoo, Finland, Finland

📁 Corporate Services

Requisition #: 190000035J

MN Mobile Networks

Espoo, Finland, Finland

📁 Corporate Services

Requisition #: 1800000M3X

MCA Marketing & Corporate Affairs

Espoo, Finland, Finland

📁 Corporate Services

Requisition #: 19000003W7

Teams at Nokia

See all jobs

Research & Development

See new jobs

Market & Sales development

See new jobs

Corporate services

See new jobs
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.