Bell Labs Internship on DevX in distributed AI/ML stream processing (Master student)

World Wide Streams (WWS) is a cloud software platform for developing, distributing, and running real-time data pipelines. It is shipped as a set of containers that can be deployed with docker or Kubernetes in a hybrid-cloud architecture. It supports processing containers for Node-JS, Python, gstreamer, and custom implementations. Pipelines can be multi-modal supporting audio, video and event-based streams. The assembly of a pipeline is expressed in XStream, a DSL embedded in TypeScript. Pipelines can be created in an agile fashion using XStream IDE support, programmatic configuration in TypeScript, recursive adaptation, expressions for continuous queries, and a graphical management interface. In our lab, we connect WWS to both real and simulated sensors and cameras defined in a 3D simulation environment.

During your internship you will get hands-on experience using state-of-the-art software techniques. You will work with a research team to run experiments, build software prototypes and present your findings.
 

Duration: flexible, to be agreed (typically 3-4 months), starting time flexible
                 This internship can be part of a Master’s thesis.

Location: Antwerp (Belgium) 

Please note that we are looking for a local candidate and that this is a non remunerated internship.

The student will learn how to setup WWS and assemble pipeline. His tasks and contributions will be based on one or more of the following topics:

• Add elements, animations, sensors and/or cameras in the 3D simulation (Webots/TypeScript/Python/C/Java)
• Assemble pipelines in XStream (TypeScript)
• Use extended-SPARQL expressions in a XStream 
• Integrate the use of Python APIs in a pipeline (Python)
• Integrate an AI/ML pipeline
• Add, modify and integrate a gstreamer component in a pipeline (Python/C/Rust)
• Evaluate the XStream IDE support and AI programming assistance for distributed development and debugging tasks (TypeScript/JavaScript)
• Improve the UX of the deploygraph UI (TypeScript/React/Svelt)
   

• Student enrolled in a Bachelor/Master of Computer Science/Engineering.
• Programming skills in TypeScript and/or Python (C/Rust/Java is a plus)
• Hands-on with IDE and command line; basic knowledge of git, ssh (docker is a plus)
• Critical thinking and good communication skills
• Programming skills: web frontend and backend programming. 
• Language skills: English

 

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.