E.ON is one of Europe's largest operators of energy networks and infrastructure and a provider of innovative energy solutions. Our employees are constantly working to digitise the energy world, achieve net zero and connect everyone to good energy. To achieve this, we are focusing our actions on sustainability, digitalisation and growth. We strongly believe that differences make us stronger and welcome all people into our inclusive and diverse culture.

We are looking for a Working Student in Machine Learning in Signal Processing (f/m/d) to join our E.ON Group Innovation GmbH team as soon as possible. If you are interested, please apply online.

Your responsibilities

• Identify, analyze, and translate business needs into conceptual, logical, and physical data models

• Evaluate cutting-edge ML/AI models in academic papers for energy applications, and communicate findings to shape project strategies.

• Support the development, implementation and deployment of state-of-the-art ML/AI models and technologies in digital pipelines together with IoT, Data and ML Engineers

• Contribute to the venturing of innovative R&D projects, from elaboration of technical ideas and concepts, through development of integrated hardware- and software prototypes and business development

• Work in a cross-functional team, and communicate effectively technical requirements and business interdependencies across engineering- and management disciplines

• Keep yourself ahead of emerging technologies, state of the art components and best practices in the areas of robotics, industrial IoT and AI in energy industry

Your profile

• Sound knowledge in Machine Learning in Signal Processing especially convolutions, fourier transform, etc.

• Knowledge of the mathematical foundations of statistical inference and forecasting such as time series analysis, multivariate analysis, cluster analysis, and optimization

• Advanced bachelor- or early master studies in the field of computer science, mathematics, data science or equivalent

• Good knowledge in programming skills, especially Python. Familiarity with Matlab would be a plus

• Experience with data science tools and libraries: NumPy, SciPy, Matplotlib, Scikit-learn, PyTorch (or equivalent), Jupyter Notebooks.

• Well-founded knowledge on Object Oriented Programming, and Software Engineering

• Desired but not required, experience in formulating and solving optimization problems with python libraries such as pyomo or similar tools

• An experimental and entrepreneurial mindset and a desire to build things from scratch or optimize ones that already exist

• Passion for technology and the inner desire to solve problems and move things forward

• Fluent in spoken and written English; German is a plus

Our Benefits

• We give you flexibility: Thanks to our flexible working hours, you can easily balance your university life and your job.

• We value your contribution: We support your financial independence with a competitive salary.

• Recharge your batteries: With us, you have 30 days of vacation per year (Christmas and New Year's Eve are always free).

• Your further development: We are growing - and want you to grow with us. We offer you interesting and varied tasks and many options for a future job after graduation.

• And that's not all: We will be happy to discuss all other benefits with you in the recruiting process

Do you have questions?

For further information please contact Paula Sophie Hoppe, .

Are you already convinced that this is the next step in your career? If yes, we would be happy if you would register and apply online as Working Student in Machine Learning in Signal Processing (f/m/d) (ID 233706).

Please note that applications via email will not be considered. Please only use our online application system.

What you need to know:

Contract type: Fixed Term
Working time: Part time
Company: E.ON Group Innovation GmbH
Function area: Data / IoT; IT/Digital
Location: Munich

Uns ist wichtig, Menschen mit Behinderung ein faires Bewerbungsverfahren zu ermöglichen, in dem sie ihr Bestes zeigen können. Daher wird unsere Schwerbehindertenvertretung frühzeitig in das Verfahren einbezogen. Bitte teile uns über das Bewerbungsformular mit, ob du technische oder organisatorische Anpassungen für das Bewerbungsverfahren benötigst. Wir stellen diese gern zur Verfügung.

Wenn es dir nicht möglich ist, dich online zu bewerben und du stattdessen mit jemandem sprechen möchtest, kontaktiere bitte deinen lokalen Recruiter.