Computational Materials Science Intern

We are seeking highly motivated and skilled interns for a 36 month internship in our Computational Materials Science team. The intern will focus on one or more of the following areas and will be expected to write reports review literature and prepare presentations of results for project team meetings.

Key responsibilities:

• Development and application of atomistic and/or mesoscale methods for understanding thermodynamics kinetics degradation and transport phenomena
• Computational discovery and/or characterization of nextgeneration materials systems
• Designing and implementing code for highperformance and highthroughput computing including machinelearning methods

Anticipated 2025 projects: Candidates are strongly encouraged to highlight relevant atomistic experience and projects of interest in their cover letters/resumes.

1. Salt hygroscopy in the context of electrolyte behavior and environmental corrosion
2. System and materials design for carbon capture
3. Polymer degradation through radical attack and temperature swings
4. Soft matter (atomistic and/or mesoscale) mechanochemical properties (from adhesion to quasistatic and frequencydependent responses).
5. Nanofluidic channel design and modeling especially coupled with electromagnetic fields
6. Tribology and lubricant modeling and selection including mechanochemical degradation and additives considerations.
7. Degradation and ion migration induced by adsorbed water layers in microelectronics
8. Abrasion wear and degradation in highvoltage microelectronic contacts Multiphase modeling including microscopic phasefield models coupled to atomistic simulations

Learning and development opportunities

Interns gain handson experience in industry research alongside experienced engineers and fellow interns. Past interns often complete one or more patents software packages or publications as well as develop valuable skills in their careers. Approximately half of associates on our team are former interns demonstrating a potential for longterm growth and opportunities.

Qualifications :

Required Qualification:

Candidates must have

• Current PhD candidate at a top university in chemical engineering physics chemistry materials science or a related field
• Experience in running or interacting with atomisticscale simulations including at least one of: densityfunctional theory molecular dynamics quantum chemistry or phasefield
• Solid foundations in materials science solidstate physics and/or chemistry
• Attention to detail flexibility creativity and excellent communication and teamwork skills
• A cover letter describing why the candidate is suited for the position past computational materials science experiences and the desired project choice(s)

Desired Qualification:

• Significant research experience including highimpact publications patents and/or contributions to opensource codes
• Strong background in physics and coding and passion on working and understanding physics and chemistrybased devices
• Past experience directly comparing experimental measurements with computational materials science simulations
• Proven ability to design research objectives conduct independent research and develop expertise in a specific field
• Past experience relevant to one or more of the projects listed

Additional Information :

By choice we are committed to a diverse workforce EOE/Protected Veteran/Disabled.

BOSCH is a proud supporter of STEM (Science Technology Engineering & Mathematics)

• FIRST Robotics (For Inspiration and Recognition of Science and Technology)
• AWIM (A World In Motion)

The U.S. base salary range for this intern position is $36.00$58.00 per hour. Within the range individual pay is determined based on several factors including but not limited to type of degree work experience and job knowledge complexity of the role type of position job location etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.

Remote Work :

Yes

Employment Type :

Intern