Scientific Computation and Machine Learning- InternshipSiemens • United States
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Scientific Computation and Machine Learning- Internship
Siemens
- United States
- United States
À propos
Research & Predevelopment
Req ID:
493089
Scientific Computation and Machine LearningInternship
Company Overview
Siemens Foundational Technology (FT) is the central R&D department of Siemens and thus has a key role in shaping the future of our Simulation and Digital Twin technology. FT acts as a strategic partner to support the executive units of Siemens. In consequence, the main research focus is on future technologies for industry, infrastructure, mobility, and healthcare. We are looking for an Intern who will work within our Design and Simulation of Systems research team in Princeton, NJ.
In this role you will work on-site inPrinceton, NJ. The position is a full-time position for at least 3 months.
Role Summary
In this internship, we are looking for a motivated and talented student with experience in simulation, machine learning, and optimization methods. You will build engineering analysis and optimization workflows with the help of traditional numerical methods and machine learning methods. The internship provides a unique experience to contribute to innovative industrial applications while mentored by experienced research professionals in an international setting. The position is a full-time role for at least 3 months with option of a hybrid arrangement if appropriate.
Transform the Everyday!
Key Responsibilities
Explore and build upon the latest ML-basedprotein/molecule modeling frameworks available,
Integrate models into high-order workflows andpipelines, such as optimization and uncertainty quantification assessments.
Test and benchmark the created models withthird-party or publicly available data.
Collaborate with domain and subject matterexperts who seek to design and develop novel solutions for challengingreal-world industrial problems.
Document learnings and project progress andregularly present results to the research and consulting team. Publication ofresults is encouraged where possible.
Education and Experience
· Enrolled in a Computer Science, Electrical Engineering, Statistics, Applied Mathematics or a similar Engineering PhD program working on the use of AI approaches to Computational Biology.
Basic Qualifications
Ability to quickly learn to use newtechnologies and frameworks.
Experience with setting ML model training andtesting/evaluating ML models.
Graduate level courses in Statistics, DataModeling and AI
Basic understanding of the latest ML approachesand architectures.
Hands-on experience with software developmentin Python.
Flexibility and resourcefulness to work in agrowing, dynamic, interdisciplinary team of specialists.
Ability to work independently and manage timeeffectively.
Proficiency in English (verbal &written).
Preferred Skills
Hands-on experience with Scientific MachineLearning.
Familiar with Linux systems and computationalclusters (CPU/GPU).
Basic experience in version control systems andagile development, among others.
Real-world problem-solving and a hands-on,can-do mentality.
Eager to present your proposals and results infront of a big audience.
Work setting
The position does require the person to be inthe United States of America and hold a valid work permit for the US.
About Siemens:
We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers.
Our Commitment to Diversity, Equity, and Inclusion:
We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. Learn more about our commitment to DEI here.
Protecting the environment, conserving our natural resources, fostering the health and performance of our people as well as safeguarding their working conditions are core to our social and business commitment at Siemens. They are an integral part of our Business Conduct Guidelines and our corporate strategy.
LI-JS
LI-Onsite
$32-$47
Organization:
Foundational Technologies
Job Type:
Full-time
Category:
Internal Services
Compétences linguistiques
- English
Avis aux utilisateurs
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