Du führst moderne Analysen durch, entwickelst Methoden in MS Azure und koordinierst den Human-in-the-Loop-Prozess zur Klassifizierung von Textdokumenten.
Anforderungen
- •Profound knowledge in Python
- •Master student in data science, computer science, or similar
- •Thesis can be written in German or English
Deine Aufgaben
- •Durchführung moderner Analysen
- •Vertiefte Analyse von Datensätzen
- •Reinigung und Filterung der Daten definieren
- •Anforderungen an den Human-in-the-Loop-Prozess festlegen
- •Entwicklung von Design und Methoden in MS Azure
- •Tests durchführen
- •Dokumentation erstellen
Deine Vorteile
Talent- und Leadership-Programme
Flexibles Arbeitszeitmodell
Verschiedene Mitarbeiterrabatte
Subventionierte Kantine
Parkplätze und öffentliche Erreichbarkeit
Bike Leasing
Original Beschreibung
As part of your master's thesis at ANDRITZ, you will gain comprehensive insight into an internationally operating company and have the opportunity to make your first professional contacts for your future career.
We are looking for a student for a masterthesis, who will be employeed on a 6h/week basis for 6 months.
**TOPIC OF THE THESIS**
* State of the art analysis.
* In-depth analysis of dataset.
* Definition of cleaning/filtering requirements.
* Definition of requirements on the human-in-the-loop procedure.
* Design and method development in MS Azure.
* Testing.
* Documentation.
**YOUR PROFILE**
* Profound knowledge in Python.
* Master student in the field of data science, computer science, or similar.
* Thesis can be written either in German or in English
**OUR OFFER**
Andritz AG offers a secure job in an innovative and international company with long-term development opportunities.
* Talent & leadership programs
* Flexible working time model
* Various employee discounts
* Subsidized company restaurant
* Parking spaces & public accessibility
* Bike Leasing
In Austria we are legally obliged to announce at least a gross monthly salary of € 3.207,73 for this position (fulltime).
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.