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.
R&D Team Lead
- You apply research trends in AI and machine learning, e.g. large language models and other generative AI methods, to solve real-world industrial problems from all of ABB’s business areas.
- You bring your innovations towards new products and digital offerings that will enable the sustainability transformation.
- You build proof-of-concepts and prototypes to convince internal stakeholders to commercialize our research results.
- We work closely with ABB’s end-customers to develop innovative industrial AI solutions, either in internal projects or in public funded consortia projects like e.g., https://explain-project.eu/, https://keen-plattform.de/, or https://www.projekt-aprosys.de/
- You participate in agile applied-research projects. Our projects run 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.
- You hold a PhD in computer science, data science, physics, electrical or mechanical engineering or similar. Alternatively, you hold a respective MSc degree and have several years of work experience.
- You have hands-on experience in software development and ideally also programming for data-driven solutions, incl. data engineering.
- You have knowledge in an industrial domain, such as process industry, discrete manufacturing, electrification, or similar.
- You have expertise in natural language processing. Additional expertise in ML for time series data is beneficial.
- Hands-on experience with MLOps and/or DevOps is beneficial.
- Knowledge in machine learning with prior knowledge, e.g. physics-informed neural networks, explainable AI and/or 1st principle models 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.
- Flexible work practices
- Canteen
- Wellbeing program
- Employee Share Acquisition Plan
- Retirement plan
Great colleagues with deep technical expertise in various areas such as data science, AI, software architecture, or cyber security. Flexible and family-friendly work environment with state-of-the-art AI research infrastructure. Empowered, diverse and international working culture. A competitive salary and benefits package (incl. e.g., internal & external training programs, insurances, pension plans, etc.). Excellent technical, personal and managerial development opportunities and various carrier opportunities. 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