ML Engineer - Heat Pump Systems Optimization

Bosch Group; Aveiro; Presencial; EUR 36 000 - 54 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

On-site medical

Training opportunities

Career progression

Discounts on Bosch products

Sports activities

Resumo da oferta

Bosch Aveiro, Home Comfort division, invites an engineer to join an industrial research project focused on heat pump systems. You will combine machine learning, data analysis, modelling, and experimental testing to develop predictive models from experimental and field data, supporting the optimization of the heat pump cycle.

The candidate will have a university degree in engineering or a related field, strong Python and MATLAB skills, and experience with MATLAB/Simulink in engineering or lab

Qualificações

• University degree in Mechanical Engineering, Electrical Engineering, Mathematics, Computer Science, or a comparable technical field.
• Good understanding of machine learning models and data-driven engineering methods, with the ability to apply them to engineering problems.
• Good programming skills in Python and/or MATLAB for data analysis, modelling, simulation, or machine learning applications.
• Understanding of dynamic systems, numerical modelling, and simulation, with the ability to analyse complex engineering problems using model-based and data-driven approaches.
• Experience working with experimental and/or field data, including data processing, analysis, and interpretation.
• Understanding of testing methodologies and data acquisition, with the ability to prepare test plans and support experimental activities.
• Good knowledge of Microsoft Office tools, particularly Excel, Word, PowerPoint, and OneNote. Experience with MATLAB and/or Simulink in engineering or laboratory environments.
• Strong analytical and problem-solving skills, with a results-oriented mindset and attention to detail.
• Proactive and responsible, with the ability to independently organize your work, take ownership of assigned activities, and propose solutions.
• Good communication skills and the ability to work effectively in a collaborative and Agile environment.
• Excellent written and spoken English.

Responsabilidades

• Machine Learning Development: Develop, evaluate, and improve machine learning models using experimental and field data from heat pump systems.
• Data Analysis & Modelling: Analyse data, model and simulate dynamic systems, and develop numerical approaches to address complex engineering problems.
• Heat Pump Optimization: Support the development and optimization of refrigeration cycles and heat pump systems using data-driven and model-based approaches.
• Predictive Models: Apply data-based methods to improve model-based concepts and support the analysis and optimization of constrained linear and nonlinear systems.
• Experimental Testing & Data Acquisition: Define and prepare experimental data acquisition systems, conduct tests, and analyse the resulting data to support model development and engineering decisions.
• Test Planning: Define and prepare structured test plans to generate high-quality experimental data for predictive model development and improvement.
• Field Data Analysis: Use available field data to analyse heat pump performance and support the optimization of control parameters.
• Machine Learning Assessment: Investigate the benefits, limitations, and risks of machine learning models, including their potential to reduce testing effort and support heat pump development.

Conhecimentos

Machine Learning

Data Analysis

Python

MATLAB

Modelling & Simulation

Testing & Experimentation

Data Acquisition

Problem Solving

Teamwork

English language

Formação académica

University degree in Mechanical Engineering

Electrical Engineering

Mathematics

Computer Science

Ferramentas

MATLAB

Simulink

Python

Excel

Word

PowerPoint

OneNote

Descrição da oferta de emprego

Bosch Aveiro, Home Comfort division, invites an engineer to join an industrial research project focused on heat pump systems. You will combine machine learning, data analysis, modelling, and experimental testing to develop predictive models from experimental and field data, supporting the optimization of the heat pump cycle.

The candidate will have a university degree in engineering or a related field, strong Python and MATLAB skills, and experience with MATLAB/Simulink in engineering or lab