Job
- Level
- Junior
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 55.482 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop digital twins for power grids, apply AI for forecasting, and automate workflows in the energy sector while utilizing time-series data and machine learning.
Job Technologies
Your role in the team
- You will conduct scientific research and data analysis in digital power systems, applying artificial intelligence (AI) to workflow automation in grid operations, energy management in distributed energy systems, and short-term and long-term forecasting of load, generation, and flexibility.
- This includes working with time-series data, machine learning models, and data pipelines for real-time and offline analytics.
- You will help develop and apply digital twins for power grids by integrating physics-based models (e.g., power flow, dynamic simulations) and data-driven components to enable real-time monitoring, predictive analytics, and scenario-based decision support.
- You will contribute to the modelling of grid assets and control systems, the synchronization of simulation and operational data, and the deployment of digital twins in hybrid cloud environments.
- You will design and implement testing and validation environments for software applications in large-scale co-simulation frameworks and hardware-in-the-loop (HIL) setups by creating automated workflows, test scenarios, and performance evaluation metrics to validate AI-based control algorithms and forecasting tools under realistic and reproducible conditions.
- You will collaborate with your team and project partners and bring your own ideas to help us define national and international research projects, aimed to strengthen AIT’s leading research position.
- You will present your developments and research results at various events and conferences as well as through scientific publications – with guidance from experienced colleagues and mentors.
- You will build and expand your network through the mentioned project work, and other networking opportunities.
- Hereby you will start shaping your own scientific profile by gaining visibility in the research community and establishing yourself as an emerging expert in the field of power system digitalisation.
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Our expectations of you
Education
- Completed technical studies (Master’s degree or equivalent) in computer science, data science, software engineering, energy informatics, or a related field.
Qualifications
- Familiarity with cloud infrastructure, Docker (ideally Kubernetes), CI/CD, and similar DevOps tools and workflows.
- Understanding of power system operation, grid infrastructure, and digitalisation trends in the energy sector is a plus.
- High level of initiative, curiosity, and the ability to work both independently and collaboratively in a team-oriented environment.
- Excellent communication skills in English (spoken and written); German is an asset.
Experience
- Solid programming skills, ideally in Python, and experience or interest in data analysis, machine learning, modelling, or simulation of energy systems.
- Willingness to engage in scientific research and publishing, including co-authoring and developing your own contributions under the guidance of experienced researchers.
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Benefits
Health, Fitness & Fun
- 👨🏻🎓Mentor Program
- 🧠Mental Health Care
- 🚲Bicycle Parking Space
- ♿️No Physical Barriers
- 👩⚕️Company Doctor
- 🎳Team Events
Work-Life-Integration
- 🙅♂️No All-In Contracts
- 🏝Extra Holidays
- 🏠Home Office
- ⏰Flexible Working Hours
- 🚌Excellent Traffic Connections
Food & Drink
More net
Job Locations
Location Vienna
Giefinggasse 4
1210 Wien
Austria
Topics that you deal with on the job
This is your employer
AIT Austrian Institute of Technology GmbH
Wien, Klagenfurt, Graz, Hall In Tirol, Dornbirn, Seibersdorf, Steyr-Gleink, Wien, Braunau Am Inn - Ranshofen, Wien, Tulln
The AIT Austrian Institute of Technology is Austria's largest research institute and is considered a specialist in central infrastructure issues for the future, Europe-wide.
Description
- Company Size
- 250+ Employees
- Founding year
- 2007
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Science, Research
Dev Reviews
by devworkplaces.com
Total
(2 Reviews)3.8
Engineering
4.0Culture
4.2Career Growth
3.6Workingconditions
3.7
Junior Research Engineer Power System Digitalization
- Salary
- from 55.482 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite