Description
**Job Family:** 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
