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Data Science Master Thesis Jobs (NOW HIRING)

Robert Bosch Group

NY · On-site

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Data Science Master Thesis information

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As of Sep 9, 2026, the average hourly pay for data science master thesis in the United States is $44.35, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $55.29 per hour, depending on experience, location, and employer.

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Infographic showing various Data Science Master Thesis job openings in the United States as of September 2026, with employment types broken down into 33% Internship, 34% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $92,247 per year, or $44.3 per hour.

Part-Time Master Thesis: AgentOPS Frameworks & Infra

NY • On-site

Robert Bosch Group
See more jobs at Robert Bosch Groupexternal

$60 - $80/hr

Other

Posted 7 days ago

Key responsibilities

  • Set up and explore frameworks and platforms for managing multi-agent systems.

  • Create and operate a multi-agent system on Bosch infrastructure to gain practical insights.

  • Investigate deployment options for agents, considering factors like cost and data integrity.

Job description

Master Thesis - AgentOPS frameworks and infrastructure

  • Part-time


Welcome to a world, where your ideas lead to something big. Welcome to Bosch.


At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.


Bosch R&D Center Lund stands for modern development in cutting edge technology in the areas of connectivity, security, mobility solutions and AI. We are growing rapidly and looking for people to join us on our mission to become the Bosch Group’s 1st address for secure connected mobility solutions. We are working on a range of interesting projects, with a particular focus on software development for the automotive industry, electrical bicycles and Internet of Things.


Generative AI (GenAI) is transforming software development. Tool support powered by large language models (LLMs), such as GitHub co-pilot and ChatGPT, are becoming an integrated part of the software development workflow. LLM-based agents, which take on software development tasks more autonomously, are now starting to emerge. While an LLM provides replies to prompts in one step, an LLM-based agent can autonomously perform tasks and take decisions, using an LLM in several steps. In addition to an LLM, the agent includes perception capabilities, memory, and supporting resources, and can provide the LLM with context intelligence via the Model Context Protocol (MCP).


When multiple agents collaborate, we get a dynamic system where agents jointly work on a problem where human involvement changes from being aware of all details to a supervisory role. Setting up an infrastructure for a multi agent system and how to manage it is still an open question where several frameworks and platforms are emerging and key characteristics and how to balance different decisions are not known.


Proposed solution


We want to explore which are the prominent frameworks and platforms emerging for managing the agent operations to understand the capabilities and limitations. We also want to set up an example multi-agent system on a Bosch infrastructure to get hands-on experience and an insight into what is required in terms of knowledge and infrastructure to operate a multi-agent system.


We also want to explore and understand where to deploy agents – on a personal computer, on a local on-premises hardware or in the cloud. There are different aspects to consider such as cost and data integrity. There might be decision to take while setting up a system (design-term) as well as more or less automatic decisions during runtime (operations).


You will have the opportunity to shape the thesis based on your knowledge, skills and discoveries during the project.


Scope of thesis project


Two students on master level working onsite at the Lund office (primarily).


Your profile


In order to be successful in the project we think you are:



  • A student in Information Technology, Computer Science, Electrical Engineering, or similar

  • Experience with AI a general and specifically using pre-trained models and related technique (e.g. RAG, multi-agents, etc.)

  • Experience and interest in agentic development

  • Driven, able to challenge yourself, and gain the experience needed to move the project forward.



  • Thomas Olsson, thomas.olsson@se.bosch.com


Please note: Only applications from students at a Swedish University are accepted.


Job Location
#J-18808-Ljbffr

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