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Bell Labs Internship Source-aware Language Models Phd jobs at Nokia in Belgium

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26.07.2025
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Nokia Bell Labs Internship geo-Distributed Streaming Belgium

Limitless High-tech career opportunities - Expoint
You will explore how TEEs can be used to provide confidentiality and integrity guarantees for distributed stream processing systems. You will design and implement a protocol or algorithm to provide...
Description:

Your RoleYou are taking part to a project, which is at the intersection of research in confidential computing (using TEEs) and distributed computing (using stream processing frameworks). We welcome applicants with experience in either. During this internship, you will work closely with us and become familiarized with industrial applications of the research work. We attempt to find a fit such that this internship can become an integral part of your PhD (e.g., as an application case) and lead to a paper written in collaboration between you and us.Framework explanationWith the rise of the Internet of Things (IoT), many sensors produce vast amounts of data. To reduce latency and bandwidth requirements, systems that process this data are typically geo-distributed, with processing occurring on the device, in a nearby edge device, in a regional edge cloud, and in a central cloud. This has led to the emergence of data processing platforms where multiple stakeholders contribute data or provide services that use the data.

In these scenarios, while the different parties benefit from the collaboration, in practice, they are often hindered by concerns about trust. The data owners want to keep control of where and by whom their data is used, requiring data confidentiality. The service providers want to ensure their computations run as specified, hence requiring code integrity, and may require their proprietary code (e.g., ML models) to be kept confidential, thus requiring code confidentiality. The infrastructure provider must ensure these guarantees to both parties.

A Trusted Execution Environment (TEE), such as Intel SGX, is a secure area of a processor in which code and data can be loaded. It guarantees confidentiality, i.e., that the code and data cannot be accessed from outside the TEE, and integrity, i.e., that the code is executed as specified. This is implemented in hardware and guaranteed by the hardware vendor. In this project, we will leverage TEEs to provide the required trust guarantees for a distributed data processing platform. Such an application would consist of TEEs running in various locations – edge, edge cloud, cloud – that each contain a part of a distributed stream processing platform (e.g., Apache Flink, Apache Spark).Your projectIn this project, you will explore and solve the challenges related to building such a system. We plan to adapt an existing distributed stream processing framework to run within TEEs across distributed nodes, including secure communication. We envision you will need to design a protocol that can convince a data owner that only pre-approved services can access their data. Moreover, it should remain possible to exploit typical features of stream processing platforms such as scalability (adding/removing nodes), failure recovery, and dynamic migration of workloads while maintaining the trust guarantees. This will lead to implementing a TEE-based “trusted orchestrator” such that (1) service providers can deploy and upgrade services, (2) the infrastructure provider can scale and adapt their nodes dynamically, and meanwhile (3) data owners can be certain their data remains confidential.Additional important information


HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN
  • You will explore how TEEs can be used to provide confidentiality and integrity guarantees for distributed stream processing systems.
  • You will design and implement a protocol or algorithm to provide these guarantees.
  • You will implement a prototype on top of an existing stream processing platform. The processing platform can be an open-source platform or our in-house platform.
  • You will implement benchmarks and evaluate your results.
  • You have the possibility to join a project that might lead to a publication at a top academic venue.
KEY SKILLS AND EXPERIENCE
  • You are a student enrolled in, or with a PhD. in Computer Science or Engineering. We are open to starting PhDs, students that are more advanced in their PhD, or post-docs.
  • You have experience related to either stream processing platforms (Apache Flink, Spark, Beam) or trustworthy computing (Intel SGX/TDX, ARM TrustZone, AMD SEV).
  • Previous (or pending) publications in related domains (confidential computing, distributed computing) are a strong plus.
  • Programming skills in Python, JavaScript/TypeScript, or Java are a plus.
  • You are fluent in English, spoken and written.

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

Join us and be part of a company where you will feel included and empowered to succeed.
Job Info
  • Job CategoryCorporate Services
  • Posting Date07/22/2025, 08:13 AM
  • LocationsCopernicuslaan 50, Building D, Antwerp, 2018, BE(Hybrid)
  • Job ScheduleFull time
  • Role TypeIndividual contributor
  • Job Identification

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03.05.2025
N

Nokia Bell Labs Internship Source-aware Language Models PhD Belgium

Limitless High-tech career opportunities - Expoint
Configure, optimize, and maintain the Legal Matter Management system (Legal Tracker by Thomson Reuters) to ensure efficient usage and alignment with business needs. Ensure that data security, access controls, and...
Description:
Solution Specialist

Collaborate with technical teams to develop or modify flows and code for integrations with cross functional teams, work with Cloud services including Azure VM, Azure App Service, work on Matter Management tool Legal Tracker (by Thomson Reuters) and I-Buy (SAP Ariba), requirements gathering, finalize plans, implement solutions, collaborate with groups (e.g., finance, operations, sales), Partner closely and flexibly with the Head of NBS L&C and the Global Head of Operations & Strategy, Digitization, and Automation, manage vendor relationships, act as the main point of contact with Thomson Reuters for troubleshooting, system updates, and new feature implementations.

HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN
  • Configure, optimize, and maintain the Legal Matter Management system (Legal Tracker by Thomson Reuters) to ensure efficient usage and alignment with business needs.
  • Ensure that data security, access controls, and compliance policies are strictly followed.
  • Oversee data exchanges between Legal Tracker and Procurement (I-Buy SAP Ariba) & Financial systems (SAP P20/P10), ensuring seamless integration for purchase requests, goods receipts, purchase orders, and invoices. Ensure data accuracy, consistency, and integrity across platforms.
  • Engage with end users and stakeholders to gather requirements and assess feasibility.
  • Provide first-line support for Legal Tracker issues, ensuring prompt resolution.
  • Generate and optimize reports using Thomson Reuters' reporting engine.
  • Contribute to solution design in the Business Intelligence (BI) space. Experience with Power BI is an asset.
  • Effectively engage with end users/legal personal, functional support teams, and technical personnel. Facilitate cross-functional collaboration to ensure efficient system operations and data flow management.

You have:

  • B.E./B. Tech. in Computer Science/Telecom/Electronics
  • Relevant experience of more than 6+ years
  • Problem-solving mindset with strong analytical skills
  • Excellent communication and ability to work with both technical and non-technical teams, Excellent command over the English language both verbal and written is a basic must for this role.
  • Technical expertise in system configuration, data integration, and reporting.

It would be nice if you also had:

  • Project management certificate
  • Experience in e-billing and matter management
  • Ability to seamlessly excel in a multicultural environment across time zones.
  • Willingness to learn and be sensitive to the dynamic nature of the business and the stakeholder/ customer expectations.
  • Ability to work as an individual contributor and as part of a team. Ability to take initiative to drive for excellence, handle pressure and tight timelines.

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

Join us and be part of a company where you will feel included and empowered to succeed.
Job Info
  • Job CategoryInformation Technology
  • Posting Date02/11/2025, 05:58 AM
  • LocationsB9, Green Boulevard, Sector 62, Noida, Uttar Pradesh, 201301, IN(Hybrid)
  • Apply Before05/09/2025, 03:30 AM
  • Degree LevelBachelor’s Degree
  • Job ScheduleFull time
  • Role TypeIndividual contributor
  • Job Identification

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Limitless High-tech career opportunities - Expoint
You will explore how TEEs can be used to provide confidentiality and integrity guarantees for distributed stream processing systems. You will design and implement a protocol or algorithm to provide...
Description:

Your RoleYou are taking part to a project, which is at the intersection of research in confidential computing (using TEEs) and distributed computing (using stream processing frameworks). We welcome applicants with experience in either. During this internship, you will work closely with us and become familiarized with industrial applications of the research work. We attempt to find a fit such that this internship can become an integral part of your PhD (e.g., as an application case) and lead to a paper written in collaboration between you and us.Framework explanationWith the rise of the Internet of Things (IoT), many sensors produce vast amounts of data. To reduce latency and bandwidth requirements, systems that process this data are typically geo-distributed, with processing occurring on the device, in a nearby edge device, in a regional edge cloud, and in a central cloud. This has led to the emergence of data processing platforms where multiple stakeholders contribute data or provide services that use the data.

In these scenarios, while the different parties benefit from the collaboration, in practice, they are often hindered by concerns about trust. The data owners want to keep control of where and by whom their data is used, requiring data confidentiality. The service providers want to ensure their computations run as specified, hence requiring code integrity, and may require their proprietary code (e.g., ML models) to be kept confidential, thus requiring code confidentiality. The infrastructure provider must ensure these guarantees to both parties.

A Trusted Execution Environment (TEE), such as Intel SGX, is a secure area of a processor in which code and data can be loaded. It guarantees confidentiality, i.e., that the code and data cannot be accessed from outside the TEE, and integrity, i.e., that the code is executed as specified. This is implemented in hardware and guaranteed by the hardware vendor. In this project, we will leverage TEEs to provide the required trust guarantees for a distributed data processing platform. Such an application would consist of TEEs running in various locations – edge, edge cloud, cloud – that each contain a part of a distributed stream processing platform (e.g., Apache Flink, Apache Spark).Your projectIn this project, you will explore and solve the challenges related to building such a system. We plan to adapt an existing distributed stream processing framework to run within TEEs across distributed nodes, including secure communication. We envision you will need to design a protocol that can convince a data owner that only pre-approved services can access their data. Moreover, it should remain possible to exploit typical features of stream processing platforms such as scalability (adding/removing nodes), failure recovery, and dynamic migration of workloads while maintaining the trust guarantees. This will lead to implementing a TEE-based “trusted orchestrator” such that (1) service providers can deploy and upgrade services, (2) the infrastructure provider can scale and adapt their nodes dynamically, and meanwhile (3) data owners can be certain their data remains confidential.Additional important information


HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN
  • You will explore how TEEs can be used to provide confidentiality and integrity guarantees for distributed stream processing systems.
  • You will design and implement a protocol or algorithm to provide these guarantees.
  • You will implement a prototype on top of an existing stream processing platform. The processing platform can be an open-source platform or our in-house platform.
  • You will implement benchmarks and evaluate your results.
  • You have the possibility to join a project that might lead to a publication at a top academic venue.
KEY SKILLS AND EXPERIENCE
  • You are a student enrolled in, or with a PhD. in Computer Science or Engineering. We are open to starting PhDs, students that are more advanced in their PhD, or post-docs.
  • You have experience related to either stream processing platforms (Apache Flink, Spark, Beam) or trustworthy computing (Intel SGX/TDX, ARM TrustZone, AMD SEV).
  • Previous (or pending) publications in related domains (confidential computing, distributed computing) are a strong plus.
  • Programming skills in Python, JavaScript/TypeScript, or Java are a plus.
  • You are fluent in English, spoken and written.

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

Join us and be part of a company where you will feel included and empowered to succeed.
Job Info
  • Job CategoryCorporate Services
  • Posting Date07/22/2025, 08:13 AM
  • LocationsCopernicuslaan 50, Building D, Antwerp, 2018, BE(Hybrid)
  • Job ScheduleFull time
  • Role TypeIndividual contributor
  • Job Identification

Similar Jobs

Show more
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