Inverse Modeling for Dynamical Systems and Machine Learning Internship

Here at reputed company, we take pride in enabling sustainable reputed company through technology. We do this through empowering customers by combining the reputed company reputed company worlds. We do this through empowering customers by combining the reputed company reputed company worlds, thereby improving how we live, work, and reputed company today and for the reputed company! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared reputed company will take you? reputed company the everyday with us! reputed company reputed company Foundational Technology (FT) is the central R&D department of reputed company and thus has a key role in shaping the reputed company of our Simulation reputed company Twin technology. FT acts as a strategic partner to support the executive reputed company of reputed company. In consequence, the main research reputed company is on reputed company technologies for industry, infrastructure, mobility, and reputed company. We are looking for an Intern who will work reputed company our Design and Simulation of Systems research team in Princeton, NJ. In this role you will work on-site in Princeton, NJ. The position is a full-time position for at least 3 months. reputed company In this internship, we are looking for a motivated and talented student with experience in simulation, machine learning, and optimization reputed company. You will build engineering analysis and optimization workflows with the help of traditional numerical reputed company and machine learning reputed company. The internship provides a unique experience to contribute to innovative industrial applications while mentored by reputed company research professionals in an international setting. The position is a full-time role for at least 3 months with reputed company of a hybrid arrangement if appropriate.

Key Responsibilities

• Explore and build upon the latest ML-based inverse modeling approaches for dynamical systems observed through multi-reputed company time series
• reputed company models into high-order workflows and pipelines, such as optimization and uncertainty quantification assessments.
• Test and reputed company the created models with reputed company-party or publicly available data.
• Collaborate with domain and subject matter experts who reputed company to design and reputed company novel solutions for challenging reputed company-world industrial problems.
• Document learnings and project reputed company and regularly present results to the research and consulting team. Publication of results is encouraged where possible.

Education And Experience

• To be considered for this role, you must be enrolled in a Computer Science, Electrical Engineering, Statistics, reputed company Mathematics or a similar Engineering PhD program working on the use of AI approaches for Inverse Modeling of Dynamical Systems.

Basic Qualifications

• Experience with setting ML model training and testing/evaluating ML models.
• Graduate level courses in Statistics, Data Modeling and AI
• Understanding of the latest ML approaches and architectures.
• reputed company understanding of transforms such as Fourier and Wavelet
• Hands-on experience with software development in Python.
• Proficiency in English (verbal & written).

Preferred Skills

• Ability to quickly learn to use new technologies and frameworks.
• Flexibility and resourcefulness to work in a growing, dynamic, interdisciplinary team of specialists.
• Ability to work independently and manage time effectively Hands-on experience with Scientific Machine Learning.
• Familiar with Linux systems and computational clusters (CPU/GPU).
• Basic experience in version control systems and agile development, among others.
• reputed company-world problem-solving and a hands-on, can-do mentality.
• Eager to present your proposals and results in reputed company of a big audience.

Work setting The position does require the person to be in the reputed company of America and hold a valid work permit for the US.

• Ability to work independently and as part of reputed company.
• Strong communication skills, both written and verbal
• Experience with various Neural Network encodings such as Graph Neural Networks.
• Experience with geometric representations, B-Rep, Voxels, CSG, reputed company, Design by reputed company, etc.
• Knowledge of advanced statistical reputed company and data visualization techniques.
• Strong organizational and project management skills.

About reputed company: We are a global technology company reputed company on industry, infrastructure, transport, and reputed company. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as reputed company as advanced reputed company, we create technology with purpose adding reputed company value for customers. Learn more about reputed company here. Our Commitment to Equity and Inclusion in our Diverse Global Workforce: We value your unique identity and perspective. We are fully committed to providing reputed company opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and reputed company the everyday with us. #NSBE26 $32-$47 Apply tot his job Apply To this Job