Job
- Level
- Erfahren
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 60.212 € Brutto/Jahr
- Ort
- Linz
- Arbeitsmodell
- Onsite
Deine Rolle im Team
Scientist (m/f/d) Polymer Physics | Focus Machine Learning / Advanced Data Analytics
In this role, you will support Borealis' programs and R&D projects, particularly in the field of reinforced learning. You will develop, validate and deploy data science methodologies on selected Borealis processes.
- Develop, validate and deploy machine learning solutions
- Collaborate in teams and R&D programs and projects
- Identify new digitalization solutions
- Plan, execute, lead and connect project tasks
- Maintain and develop further procedures and routines
- Publish latest innovations in agreement with our IPR department and R&D
- Actively maintain a close internal and external network with universities, research institutes and software suppliers
Unsere Erwartungen an dich
Ausbildung
- Ph.D. degree in Process Engineering and/or Polymer Physics or in case of a master's education several years of professional experience in relevant fields
Qualifikationen
- Excellent knowledge in machine learning methods, particularly in reinforced learning techniques, software coding and handling big data
- Good knowledge in industrial processes, polymer properties and testing
- Good overview of data science and emerging technologies
- Good communication, presentation and negotiation skills
- Fluent in written and spoken English
- We are looking for an analytical pioneer who knows how to apply the principles of scientific rigor. At the same time, this role is for someone who is eager to translate their observations into clear and useful explanations and who enjoys sharing their knowledge and actively collaborating with others. This includes peers, university partners, software suppliers, and other stakeholders in projects.
Benefits
Mehr Netto
Job Standorte
Das ist dein Arbeitgeber
Borealis AG
Wien
Borealis ist Anbieter von innovativen Lösungen in den Bereichen Polyolefine, Basischemicke und Düngemittel.
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 1994
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Onsite
- Branche
- Pharma, Chemie, Biotech