Level

ABB

Internship - Advanced Control & Optimization

ABB is hiring an Internship - Advanced Control & Optimization. Level rates it ; you can apply on Level.

AI in this role

Support industrial advanced process control and optimization projects using simulation tools and model predictive control.

modelicamatlabsimulink
advanced-process-controlmpcprocess-simulationoptimization

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This position reports to:

Digital Solution Engineering Manager

__

We are seeking a motivated recent graduate or final-year student in engineering to join our team as Plant Advanced Control and Optimization Intern. This position offers a unique opportunity to work on cutting-edge advanced control and optimization projects for industrial plants, focusing on Power Generation and Energy Industries, using ABB's advanced multivariable model predictive control (Predict & Control) and optimization tool (OPTIMAX).

The intern will also gain hands-on experience in plant modeling, using Modelica, process simulation and control system integration, working alongside experienced engineers on real-world industrial projects.


Your role and responsibilities


  • Support the development and validation of dynamic plant models using Modelica language for power generation plants and steam networks
  • Support the identification of empirical process models using historical plant data for advanced control applications
  • Validate models against real plant data and performance specifications
  • Support advanced process control projects based on multivariable Model Predictive Control (MPC) using ABB Predict & Control technology
  • Contribute to the identification of controlled variables, manipulated variables, disturbances, operating constraints, and optimization objectives for industrial process units
  • Assist in developing, configuring, testing, and validating MPC applications to reduce process variability, improve energy efficiency, and operate closer to plant constraints in a safe and stable manner
  • Support the development of technical documentation regarding advanced control projects
  • Collaborate on optimization projects using ABB OPTIMAX technology. Develop optimization models for steam and power systems
  • Analyze plant performance data to identify optimization opportunities



The work model for the role is: hybrid

This role is contributing to the Process Automation Energy Industries in Central-South Europe region.


Qualifications for the role


  • Education: Master's degree (completed or final year) in Energy Engineering, Chemical Engineering, Mechanical Engineering and Process and Industrial Engineering.
  • Technical Skills: knowledge of process simulation tools (MATLAB/Simulink, or similar) is a plus.
  • Knowledge of process simulation tools (MATLAB/Simulink, or similar) is a plus.
  • Knowledge of OPC protocol and fieldbus communications is a plus. 
  • Knowledge of Windows O.S. and Linux. Interest in configuring and testing computer systems and network architecture.
  • Basic programming skills (Python, MATLAB, or similar) is a plus.
  • Proficiency in the Microsoft Office Suite, particularly Excel.
  • Languages: Ability to communicate fluently in both Italian and English.
  • Soft Skills: A proactive mindset with strong interpersonal and communication skills.


Benefits


Locally, you can count on:


  • Flexibility and work-life balance: Flexible working hours, hybrid work options, and a strong focus on work-life integration.



More about us


ABB’s Automation business area enables customers to operate some of the world’s largest and most complex industrial infrastructures, helping them outrun – leaner and cleaner.

We offer a broad range of automation, electrification and digital solutions for process, hybrid and maritime industries, including industry-specific integrated control and software as well as measurement and analytics solutions and services.


Join us. Be part of the team where progress happens, industries transform, and your work shapes the world. 


Run What Runs the World.  

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.

Ready to make an impact?

Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.

How we rate this

Internship - Advanced Control & Optimization at ABB rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Advanced Process ControlMpcProcess SimulationOptimizationModelicaMatlabSimulink

Questions you could be asked

  1. Tell me about a project where advanced process control was part of your work. What did you do?
  2. Tell me about a project where mpc was part of your work. What did you do?
  3. Tell me about a project where process simulation was part of your work. What did you do?
  4. Tell me about a project where optimization was part of your work. What did you do?
  5. Walk me through how you've used Modelica in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Advanced Process Control, Mpc, Process Simulation, Optimization, and Modelica. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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