Job
- Level
- Experienced
- Location
- Graz
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 52.865 € gross/year
Job Summary
In this role, you will develop robust, interpretable machine learning models for forecasting renewable energies that operate reliably under changing conditions and account for uncertainties.
Your role in the team
- The research aims to develop accurate, robust, interpretable, and operationally useful machine-learning methods for renewable energy and power grid forecasting, supporting the reliable operation of energy infrastructure throughout the green energy transition.
- Das zentrale Ziel besteht darin, über eine rein auf Genauigkeit ausgerichtete Prognose hinauszugehen und Modelle zu entwickeln, die auch bei wechselnden Wetterbedingungen, sich entwickelnden Energiesystemen sowie begrenzten oder heterogenen Daten zuverlässig bleiben.
- Particular focus is on: Robust forecasting under distribution shifts, Multimodal and spatio-temporal forecasting using weather, energy and event information, Uncertainty-aware forecasting.
- The overall goal is to develop a data-efficient and uncertainty-aware ML forecasting framework that is robust to distribution shifts, supports reliable day-ahead forecasting for renewable energy sources and power losses in electrical grids, and leads to high-impact publications supported by regular scientific supervision and mentorship.
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Our expectations of you
Education
- M.Sc. degree in a relevant field (Computer Science, Information and Computer Engineering, Physics, Electrical Engineering, or similar).
Qualifications
- Strong background in machine learning, pattern recognition, good programming skills.
- Excellent communication skills, fluency in English.
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What we offer
- Varied scope of responsibilities.
- Collegial and friendly working atmosphere.
- Flexible working hours (including home office option; paid lunch break - depending on the number of hours worked).
- International training opportunities and teaching stays.
- Seal of quality for internal female empowerment.
- Family-friendly employer.
- Occupational health management.
- Access to the latest technologies.
- Extensive training and development opportunities.
- Safe and stable working environment.
- We offer an annual gross salary based on full-time employment of at least €52,865.40. Overpayment depending on qualifications and experience is possible.
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Benefits
Higher Take-Home Pay
Health, Fitness & Fun
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Technische Universität Graz
Graz
The Technische Universität Graz is the only university in the province of Styria. It was founded in 1811 by Archduke Johann and comprises seven faculties as of 2018.
Description
- Founding Year
- 1811
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Education System
Employer reviews
by devworkplaces.com
Total
(1 Review)1.9
Culture
2.5Career Growth
1.8Workingconditions
2.0Engineering
1.3
PhD position in Applied Machine Learning
- Salary
- from 52.865 € gross/yearEstimated net salary based on the gross salary in the job ad.from 37.301 € net/year
- Location
- Graz
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
