Thesis Work for Scalable Distributed Computation over TSN for Industrial Robot Controllers

Posted Yesterday
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Västerås, SWE
In-Office
Entry level
Robotics • Analytics • Energy
The Role
Master’s thesis investigating Time-Sensitive Networking for scalable distributed computation in industrial robot controllers. The work evaluates TSN traffic shaping, time synchronization, real-time and non-real-time traffic coexistence, end-to-end timing, coordination, scalability, runtime overhead, and configuration complexity using representative workloads.
Summary Generated by Built In

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world.

This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we’ve announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing.  By joining us now, you’ll be part of a pioneering team shaping the future of robotics—working alongside world-class experts in a fast-moving, innovation-driven environment.

This Position reports to:

R&D Team Lead
 

Your role and responsibilities
Distributing controller functions across computing nodes could enable modular solutions for computationally intensive applications. This thesis offers the opportunity to explore how Time-Sensitive Networking (TSN) can support timing predictability and scalability in distributed industrial robot control.

In this thesis, selected TSN traffic-shaping mechanisms and time synchronization will be evaluated using representative distributed industrial robot-controller workloads. Attention will be given to the coexistence of real-time controller traffic and non-real-time traffic on the same network. The objective is to assess how TSN configurations affect end-to-end timing, coordination and scalability, and to identify the runtime overhead and configuration complexity.

Details:

  • Period: Jan – June 2027 
  • Number of credits:  30 ECTS/högskolepoäng (hp) 
  • Number of students for this thesis work: One  
  • Location: Västerås /Hybrid

Qualifications for the role

  • Currently pursuing a master’s degree in computer science, Electrical Engineering, Embedded Systems, Automation, Robotics, or a related field
  • Knowledge of real-time systems and time-critical computing concepts
  • Experience with networking protocols, industrial networks preferably Ethernet-based communication or Time-Sensitive Networking (TSN)
  • Programming skills in C/C++ or Python for system analysis, simulation, or prototyping
  • (Bonus) Familiarity with industrial automation, robotics, or motion control systems


More about us


Recruiting Manager Peter Rinderud, +46 72 464 46 84 or [email protected], will answer your questions.  


Positions are filled continuously. Please apply with your CV, academic transcripts, and a cover letter in English.


We look forward to receiving your application!

A Future Opportunity
Please note that this position is part of our talent pipeline and not an active job opening at this time. By applying, you express your interest in future career opportunities with ABB.

We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to learn more about us and see the impact of our work across the globe.

Skills Required

  • Currently pursuing a master's degree in computer science, electrical engineering, embedded systems, automation, robotics, or a related field
  • Knowledge of real-time systems and time-critical computing concepts
  • Experience with networking protocols, preferably Ethernet-based industrial networks or Time-Sensitive Networking
  • Programming skills in C, C++, or Python for system analysis, simulation, or prototyping
  • Familiarity with industrial automation, robotics, or motion control systems

ABB Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ABB and has not been reviewed or approved by ABB.

  • Healthcare Strength — Healthcare coverage is described as comprehensive, with medical, dental, vision, mental health support, and disability and life insurance included. Immediate eligibility in some roles reinforces the sense of dependable core coverage.
  • Leave & Time Off Breadth — Time-off offerings are described as broad, including paid holidays, sick days, volunteer time, sabbaticals, and, in some cases, 25 days of PTO. Flexible scheduling and remote-work options add to perceived time-off and flexibility value.
  • Retirement Support — Retirement benefits are positioned as robust, including a 401(k) with company contributions or matching and, in some cases, profit sharing or pension savings. Stock purchase/share acquisition programs complement longer-term savings options.

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The Company
HQ: Zürich
104,000 Employees
Year Founded: 1988

What We Do

ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. By connecting software to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. With a history of excellence stretching back more than 130 years, ABB’s success is driven by about 110,000 talented employees in over 100 countries. www.abb.com

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