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Computational Modeling Internship Jobs in Oregon

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Computational Modeling Internship information

What is a computational modeling internship?

A Computational Modeling Internship is a temporary position where students or recent graduates work with organizations to develop and use computer-based models to simulate real-world systems, processes, or phenomena. Interns in this role typically use programming, mathematics, and data analysis techniques to help solve complex problems in fields like engineering, biology, physics, or finance. The internship provides hands-on experience in model development, validation, and interpretation, often supporting research or product development projects. It is an opportunity to gain practical skills, collaborate with professionals, and contribute to innovative solutions.

What types of projects and collaborations can I expect during a computational modeling internship?

During a Computational Modeling Internship, you can expect to work on projects involving data analysis, simulation, and model development to solve real-world problems in fields like engineering, biology, or physics. Interns often collaborate closely with multidisciplinary teams, including researchers, software engineers, and data scientists. You'll likely contribute to ongoing research or product development by running simulations, interpreting results, and presenting findings to team members. This collaborative environment helps interns build both technical expertise and communication skills while gaining exposure to various aspects of computational modeling.

What are the key skills and qualifications needed to thrive as a computational modeling intern, and why are they important?

To thrive as a Computational Modeling Intern, you need a solid background in mathematics, programming (often Python or MATLAB), and familiarity with numerical methods, typically supported by coursework in computational science or engineering. Experience with modeling software, simulation tools, and version control systems like Git is highly valued. Strong analytical thinking, attention to detail, and effective communication set outstanding candidates apart. These skills are crucial for accurately developing, interpreting, and presenting complex models that inform research and decision-making.

What is the difference between Computational Modeling Internship vs Data Analyst Internship?

AspectComputational Modeling InternshipData Analyst Internship
Required SkillsProgramming, mathematical modeling, simulation toolsData analysis, statistics, visualization tools
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare sectors
Common Industry UsageEngineering, scientific research, simulation projectsBusiness intelligence, market analysis, reporting

While both internships involve data handling and technical skills, Computational Modeling Internships focus on developing and applying mathematical models and simulations, often in research or scientific contexts. Data Analyst Internships emphasize analyzing datasets to extract insights for business decisions. The choice depends on your career goals: research and modeling or data-driven business analysis.

What are popular job titles related to Computational Modeling Internship jobs in Oregon?

For Computational Modeling Internship jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Computational Modeling Internship jobs?

Cities in Oregon with the most Computational Modeling Internship job openings:

Intel Foundry LTD Yield Development Engineer

Hillsboro, OR • On-site


INTEL
Manufacturing • 10K+ employees

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 159 rated electronics manufacturers

Great coworkers

People enjoy working here

Good employer


$71.20 - $100.53/hr

Full-time

Medical, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Description

Embark with us on a journey of growth and transformation as we create exceptionally engineered technology and bring AI everywhere. As a valued team member, your adaptability and attention to detail will contribute to our drive for results and relentless pursuit of quality, ensuring we meet our customers' needs with precision.

Life at Intel: https://jobs.intel.com/en/life-at-intel

As a Yield Development Engineer, you will be at the forefront of advancing Intel's cutting-edge process technologies within our Logic Technology Development (LTD) organization. This pivotal role involves identifying root cause yield limiters and driving solutions that enhance manufacturability and yield across technology nodes. You will work within a dynamic, fast-paced environment to ensure the successful introduction of new products, process improvements, and robust methodologies to meet manufacturing goals. Your expertise will directly contribute to Intel's ability to deliver world-class semiconductor solutions and advance the future of computing.

About Intel Foundry

At Intel, the Foundry Technology Development (TD) unit is the driving force behind Moore's Law, enabling us to create groundbreaking technology that enriches lives globally. With over 15,000 dedicated employees, Foundry TD spearheads innovative research, develops next-generation processes and packaging technologies, and manages high-volume manufacturing in state-of-the-art facilities. Within Intel Foundry TD, our Logic Technology Development (LTD) organization is at the forefront of creating and refining each process technology node, paving the way for tomorrow's computing solutions.

Your responsibilities as a Yield Development Engineer will include but not be limited to:

  • Develop methods, processes, and systems to consolidate and analyze diverse big data sources for defect mode understanding and yield modeling.
  • Perform statistical analysis, create visualizations, and construct process development roadmaps that drive technology yield milestones.
  • Extract insights from structured and unstructured data using advanced statistics, machine learning, and coding techniques.
  • Organize, interpret, and structure insights from fab process, defect, and electrical data while identifying anomalies to drive process changes for yield enhancement.
  • Develop multivariate algorithms and tools to identify root cause yield limiters and recommend process changes for yield improvement.
  • Collaborate with design teams to resolve yield issues, ensuring manufacturability across process and product specifications before ramping production.
  • Execute new product introductions, enable design-technology co-optimization, and participate in design of experiments with factory task forces.
  • Develop measurement recipes for rapid feedback on product integrity and address issues impacting yield or product quality.
  • Create and harden systems capable of meeting operational needs for leading-edge logic nodes, working with equipment vendors and internal collaborators.
  • Develop AI/ML applications and computational tools to bridge the gap between design and manufacturing, improve design efficiency, and reduce debug time.
  • Document technical procedures, train colleagues, and debug equipment, software, and procedural failures in production environments when required.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates Experience listed below would be obtained through a combination of your schoolwork, classes, research and/or relevant previous job and/or internship experiences.

Minimum qualifications:

  • Ph.D. in semiconductor science-related STEM degree in engineering, physical science, computer science, or related field.
  • 2+ years of experience in advanced semiconductor devices and process flow

Preferred qualifications:

  • 2+ years of experience with data analysis systems and software tools
  • 2+ years of experience in yield projection with EOL signals and in line parameters
  • Project/program management experience with strong self-initiative and self-learning capabilities.
  • Proven track record of working across organizations through matrix structures to accomplish strategic objectives with conflicting priorities.

Join us and build on our legacy of innovation and collaboration as we deliver worldchanging technology that improves the life of every person on the planet.

Interview Tips: https://www.intel.com/content/www/us/en/jobs/hiring.html


Other Locations
US, Austin
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
Annual Salary Range for jobs which could be performed in the US $148,100.00-$209,100.00
*Salary range dependent on a number of factors including location and experience
Working Model
This role will require an on-site presence.* Job posting details (such as work model, location or time type) are subject to change.
Required
    Preferred
      Job Industries
      • Other

      Intel logo

      About Intel

      Sourced by ZipRecruiter

      Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

      Industry

      Manufacturing

      Company size

      10,000+ Employees

      Headquarters location

      Santa Clara, CA, US

      Year founded

      1968


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