Scientific Computation and Machine Learning Internship

Job Description

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Job Family: Research & Predevelopment

Req ID: 493089

Scientific Computation and Machine Learning Internship

Company Overview

Siemens Foundational Technology (FT) serves as the central R&D department of Siemens, playing a crucial role in shaping the future of Siemens’ Simulation and Digital Twin technology. FT operates as a strategic partner, supporting the executive units across Siemens. Consequently, the primary research focus is on future technologies for industry, infrastructure, mobility, and healthcare. This internship is within the Design and Simulation of Systems research team in Princeton, NJ.

This role requires on-site work in Princeton, NJ. It is a full-time position for a minimum of 3 months, with an option for a hybrid arrangement if appropriate.

Role Summary

We are seeking a motivated and talented student for this internship, possessing experience in simulation, machine learning, and optimization methods. The intern will be responsible for building engineering analysis and optimization workflows by integrating both traditional numerical methods and machine learning techniques. This internship offers a unique opportunity to contribute to innovative industrial applications while being mentored by experienced research professionals in an international setting.

Transform the Everyday!

Key Responsibilities

• Explore and build upon the latest ML-based protein/molecule modeling frameworks available.
• Integrate models into higher-order workflows and pipelines, such as optimization and uncertainty quantification assessments.
• Test and benchmark the created models using third-party or publicly available data.
• Collaborate with domain and subject matter experts who are focused on designing and developing novel solutions for challenging real-world industrial problems.
• Document learnings and project progress, and regularly present results to the research and consulting team. Publication of results is encouraged where possible.

Education and Experience

• Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a similar Engineering field, with a focus on the use of AI approaches to Computational Biology.

Basic Qualifications

• Ability to quickly learn and adapt to new technologies and frameworks.
• Experience with setting up ML model training and testing/evaluating ML models.
• Completion of graduate-level courses in Statistics, Data Modeling, and AI.
• Basic understanding of the latest ML approaches and architectures.
• Hands-on experience with software development in Python.
• Flexibility and resourcefulness to thrive in a growing, dynamic, interdisciplinary team of specialists.
• Ability to work independently and manage time effectively.
• Proficiency in English (verbal & written).

Preferred Skills

• Hands-on experience with Scientific Machine Learning.
• Familiarity with Linux systems and computational clusters (CPU/GPU).
• Basic experience in version control systems and agile development.
• Real-world problem-solving ability and a hands-on, can-do mentality.
• Eagerness to present proposals and results to a large audience.

Work Setting

The position requires the individual to be physically present in the United States of America and hold a valid work permit for the US.

About Siemens

Siemens is a global technology company focused on industry, infrastructure, transport, and healthcare. We create technology with purpose, adding real value for customers through solutions such as resource-efficient factories, resilient supply chains, smarter buildings and grids, sustainable transportation, and advanced healthcare.

Our Commitment To Diversity, Equity, And Inclusion

We highly value your unique identity and perspective. Siemens is fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. We encourage you to bring your authentic self and contribute to creating a better tomorrow with us. Learn more about our commitment to Diversity, Equity, and Inclusion (DEI) here.

Protecting the environment, conserving natural resources, fostering the health and performance of our people, and safeguarding their working conditions are fundamental to our social and business commitment at Siemens. These principles are an integral part of our Business Conduct Guidelines and our corporate strategy.

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Salary Range: $32-$47

Organization: Foundational Technologies
Job Type: Full-time
Category: Internal Services

For any questions regarding this posting, please contact support@lensa.com.