Scientist (m/f/d) Polymer Physics | Focus Machine Learning / Advanced Data Analytics
Linz, AT
Full Time EUR 60K+
Borealis
Borealis is one of the world’s leading providers of advanced and sustainable polyolefin solutions. In Europe, Borealis is also an innovative leader in polyolefins recycling and a major producer of base chemicals. With operations in over 120...About the role
Location: Austria - Linz
Hours: Full-Time
Type of Contract: Permanent
Make machine learning real!
Process intensification through digitalization is a clearly defined goal in our strategy. Therefore, we are offering this role in the field of Advanced Data Analytics, specifically within our “Digital Innovation Team”, a competence center in our R&D department. This team is working on advanced machine learning methodologies for the digital description and prediction of Borealis core operations.
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.
You will:
- 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
About you
- 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
- 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.
About Borealis and our offer
We are here for you! If you have any questions, please contact Renate Ewinger, renate.ewinger@borealisgroup.com. Please note that applications via e-mail will not be accepted since we are serious about protection of your personal data, so thank you for applying online.
Following Austrian law regulations, we offer, reflecting your experiences, skills and competencies, competitive compensation based on the collective labour agreement chemical industry starting at EUR 60.212,18 annual gross salary (based on 38 hrs/week) and are willing to pay more based on your experience and background. In addition, we offer hybrid working, a yearly bonus and a voluntary company pension plan.
We reserve the right to close this vacancy for further applications when we have received sufficient applications that meet the advertised requirements and will contact you as soon as screening is closed.
Borealis only accepts candidate resumes from recruiters or recruiting agencies if they have been explicitly commissioned by Borealis for a specific recruitment and if the data is provided to us in line with the General Data Protection Regulation. Borealis will not accept or pay fees for candidate resumes of any form or kind that were sent unsolicited to either HR or directly to our hiring managers.
Tags: Big Data Data Analytics Engineering Industrial Machine Learning Physics R R&D Research Testing
Perks/benefits: Competitive pay Salary bonus
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