Scientist (m/f/d) for physics-informed AI (80 – 100%)

Key Skills

Aartificial intelligence, Data Engineering, Data science techniques, DevOps, Effective communication skills, Machine learning techniques, MLOps tools

Job Description

At the ABB Corporate Research Center Germany (https://www.youtube.com/watch?v=Vd4BLrNbvlc), we research and prototype innovative technologies that shape ABB’s future product portfolio for sustainable automation, digitalization, and electrification. We work in cross-functional teams at the intersection of industrial research, end-customers, start-ups, and academic institutions globally.

This position reports to

R&D Team Lead

Your responsibilities

• You apply academic research in AI and machine learning to solve real-world industrial problems from all of ABB’s business areas.
• Your work will have a focus on enhancing machine learning and AI methods with prior knowledge, such as first-principle simulations, knowledge graphs and/or domain expert experience.
• You enable the sustainability transformation of process industry with your AI solutions.
• You build proof-of-concepts and prototypes to convince internal stakeholders to commercialize the research results.
• You work closely with ABB’s end-customers to develop innovative industrial AI solutions, e.g. in public funded consortia projects like https://explain-project.eu/, https://keen-plattform.de/, or https://www.projekt-aprosys.de/
• You participate in agile applied-research projects and work collaboratively with global ABB product development teams, ABB’s technology partners and academic institutions.
• You present your work inside and outside of ABB to expert and management audiences, also at scientific conferences/journals and trade fairs.
• You secure intellectual property by patent applications.
• You strongly develop your technical and soft skills to boost your career inside ABB.

Your background

• You hold a PhD in engineering, physics, computer science, data science, mathematics or similar. Alternatively, you hold a respective MSc degree and have several years of work experience.
• You have strong knowledge in one of the following fields: physics-informed neural networks, neural operators, meta learning, first principle models, explainable AI, expert-in-the-loop AI (active learning, etc.).
• You have hands-on experience in software development and ideally also programming for data-driven solutions, incl. data engineering.
• Knowledge in an industrial domain, such as process industry, automation, discrete manufacturing, electrification, is beneficial.
• Hands-on experience with MLOps and/or DevOps is beneficial.
• As a plus you bring practical experience and interest in agile project management.
• Proficient English skill is mandatory, additional German skill is beneficial.
• We value cross-cultural communication skills, creativity, initiative, enthusiasm, and result-orientation to bring your innovations towards new products and digital offerings.

Benefits

• Flexible work practices
• Canteen
• Wellbeing program
• Employee Share Acquisition Plan
• Retirement plan

More about us

We look forward to receiving your application (documents submitted in English are appreciated). If you want to discover more about ABB, take another look at our website www.abb.com.

Work model: hybrid #LI-hybrid

ABB is able to offer you an interesting role within a highly motivated team, together with open communication structures. On the basis of a personal, practice-oriented induction programme, you will be given the opportunity to acquire the confidence needed to work independently and self-reliantly within your assigned area. Even after the joining phase, ABB offers a wide range of individual career development opportunities and supports you in realising your career goals with targeted training measures. At ABB you will find an attractive working environment in all phases of life - including mobility services such as bicycle leasing, policies for sabbaticals and home office, the ABB children's vacation camp and taking care of family members.

Interested in joining our team? We are looking forward to receiving your complete application through our online tool. In the case of equal suitability, people with severe disabilities and their equals are given preference.

ABB AG

Your contact is: ABB PersonalDirekt

+49 (0) 621 381 3500

ABB Data Privacy Statement:

https://new.abb.com/privacy-notice/candidate

Publication ID: DE89736208_E1

Important: In order to be employed by ABB you will need to fully comply with/fulfill all local ABB employment requirements/processes.