09 ott - Bardi
Strategic Micro Systems of NJ
h3OUR STORY /h3pAt STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society.
As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today.
/ppWhen you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.
/ppDeveloping technologies takes more than talent: it takes amazing people who understand collaboration and respect.
People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential.
/ppEmbark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way.
Our technology starts with you.
/ph3YOUR ROLE /h3pThe Applied Mathematics Team (AMT), part of System Research Applications (SRA), develops advanced AI and mathematical technologies to address complex industrial challenges and create competitive advantages for ST. We work at the intersection of AI, mathematical modeling, simulation, digital twins, robotics, and software engineering, transforming cutting-edge research into impactful industrial solutions.
/ph3Job Summary /h3pWe are looking for an exceptional AI Research Scientist passionate about advancing the state of the art in AI-driven modeling of complex systems.
/ppYou will explore how foundation models, scientific machine learning, multimodal learning, and simulation can be used to model, understand, and optimize physical and industrial processes.
A key focus of the role is the development of intelligent systems for Robotics and Vision-Language-Action (VLA) applications through advanced modeling, simulation, and foundation-model technologies.
The role also includes the development of physical modeling algorithms for Digital Twins, enabling the creation of predictive, adaptive, and explainable representations of complex physical systems.
/ph3Key Responsibilities /h3ulliDrive research in AI-driven modeling, robotics, and intelligent systems.
/liliDesign and develop advanced AI models for physical, industrial, and embodied environments.
/liliBuild prototypes and proof-of-concepts based on emerging AI technologies.
/liliContribute to multimodal AI, simulation-driven learning, robotic intelligence, and VLA systems.
/liliDesign and develop physical modeling algorithms and hybrid AI-physics models to support next-generation Digital Twin solutions.
/liliCreate modeling frameworks that combine data, domain knowledge, and physical constraints.
/liliDesign rigorous experiments and evaluation methodologies.
/liliPublish results, contribute to patents, and communicate technical findings.
/liliCollaborate with multidisciplinary teams across research, engineering, and product groups.
/li /ulh3Required Qualifications /h3h3Technical Skills /h3ulliStrong hands-on AI experimentation and software development skills.
/liliAbility to independently identify problems, formulate research hypotheses, and execute projects.
/liliExpertise in one or more of:ulliMultimodal Learning /liliTime-Series Modeling /liliPhysics-Informed Neural Networks /liliReinforcement Learning /liliSimulation /liliRepresentation Learning /liliAI Evaluation /li /ul /liliDeep expertise in Robotics and Vision-Language-Action (VLA) systems, including modeling, simulation, and learning for physical or embodied environments and the development of physical modeling algorithms for Digital Twins.
/liliStrong Python and modern AI framework skills (PyTorch, JAX, TensorFlow).
/liliExperience with scientific experimentation and benchmarking.
/li /ulh3Personal Skills /h3ulliStrong scientific judgment and problem-solving mindset.
/liliIntellectual curiosity, autonomy, and initiative.
/liliExcellent collaboration and communication skills.
/liliPassion for research and innovation.
/li /ulh3Preferred Qualifications /h3ulliPhD or equivalent research experience in AI, Machine Learning, Robotics, Computer Science, Applied Mathematics, or related fields.
/liliPublications in leading conferences or journals.
/liliExperience with robot learning, embodied AI, digital twins, or simulation environments.
/liliExperience with foundation model training or adaptation.
/liliOpen-source or research community contributions.
/li /ulh3Why Join Us /h3ulliWork on cutting-edge AI research with direct industrial impact.
/liliShape the future of AI-driven modeling, robotics, and intelligent systems.
/liliCollaborate with experts across AI, mathematics, software, and semiconductor technologies.
/liliInfluence strategic technology directions within ST. /li /ulpThe expected salary range for this position is €38,000 – €45,000 gross annual salary (RAL), plus variable pay and productivity premium.
/ppIn accordance with the EU Pay Transparency Directive and applicable Italian legislation, this compensation range has been determined based on objective, gender-neutral criteria, including job responsibilities, required skills, relevant experience, qualifications, and market benchmarks.
Placement within the range will depend on the candidate's profile and demonstrated competencies.
The final offer will be made in compliance with the applicable National Collective Bargaining Agreement (CCNL), where relevant, and our internal compensation policies.
We are committed to equal pay for equal work and equal opportunities for all candidates /ppST is proud to be one of the 17 companies certified as a **** Global Top Employer and the first and only semiconductor company to achieve this distinction.
ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics integrity, purpose values, organization change, business strategy, and performance.
/ppAt ST, we endeavor to foster a diverse and inclusive workplace, and we do not tolerate discrimination.
We aim to recruit and retain a diverse workforce that reflects the societies around us.
We strive for equity in career development, career opportunities, and equal remuneration.
We encourage candidates who may not meet every single requirement to apply, as we appreciate diverse perspectives and provide opportunities for growth and learning.
Diversity, equity, and inclusion (DEI) is woven into our company culture.
/ppTo discover more, visit st.com/careers.
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