Student Assistant/intern
vor 2 Monaten
Adaptivity is an indispensable property for the networked world of tomorrow. Intelligent components can detect changes in the environment or in the system itself, evaluate them and adapt to them independently. As a partner of industry, Fraunhofer IIS/EAS develops key technologies for adaptive systems with about 100 employees at the Dresden site and offers innovative technologies and robust solutions.
Our group - IFK is excited to offer an opportunity for a highly motivated and aspiring student to join our team as an Intern. We value fresh perspectives and is committed to providing hands-on experience in the exciting field of data analysis. If you are passionate about uncovering valuable insights from complex time series data and enjoy working in a collaborative and forward-thinking environment.
**Then we have the right job for you**
**What you do with us**
- Data Analysis - Utilize statistical methods and machine learning techniques to extract meaningful insights from time series data.
- Feature Engineering: Identify relevant features or create new features that contribute to robust forecasting
- Model Development - Develop and implement predictive models for forecasting future trends based on historical time series data.
- Forecast Visualization and Communication
- Implement the developed methods on real-world datasets
**What you bring along**
- Currently enrolled in master's program in a quantitative field such as Statistics, Computer Science, or a related discipline.
- Understanding of programming languages, such as Python (hands-on experience with projects is a plus).
- Familiarity with relevant tools and libraries, including but not limited to pandas, NumPy, scikit-learn, and statsmodels.
- Strong analytical and problem-solving skills.
- Eagerness to learn and a proactive attitude towards taking on new challenges.
- Good communication skills and the ability to work effectively in a collaborative team environment.
**What you can expect**
- Flexibility in working hours and thus optimal compatibility of studies and practice
- Close cooperation in a committed and interdisciplinary development team
- An open and cooperative working environment
- Varied range of tasks
- Interaction in a cross-organizational network of science and practice
- An innovative and exciting topic, with the opportunity to contribute your own ideas
- The freedom to develop yourself according to your interests and skills
**Have we aroused your interest?**
**We look forward to getting to know you**
Fraunhofer Institute for Integrated Circuits IIS
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