AI/ML for Electron Microscopy Internship — Eindhoven

ThermoFisher Scientific; Eindhoven; On-site; EUR 6,700 - 10,000; Part time

Benefits offered by this job

Internship compensation provided

Job summary

Thermo Fisher Scientific invites applications for an AI/ML Applications Intern in Eindhoven. You will explore ML methods to improve electron microscopy workflows, focusing on intelligent acquisition, navigation, image analysis, and optimization.

The role blends ML, physics, and computer science in a hands-on R&D setting with state-of-the-art equipment. Responsibilities include formulating research questions, reviewing literature, analyzing microscopy data, and developing algorithms.

Qualifications

• Pursuing degree in Physics, Mathematics, CS, EE or related field.
• Strong interest in physics, materials science, and AI/ML.
• Hands-on programming experience, preferably in Python.
• Basic understanding of ML and data-analysis methods.
• Analytical mindset and willingness to tackle open-ended problems.
• Good written and spoken English communication.
• Desire to work in a collaborative, interdisciplinary R&D environment.
• Availability for regular on-site work in Eindhoven and travel there during the internship.

Responsibilities

• Define a focused research question and project plan with your supervisors.
• Review relevant scientific literature and identify promising AI/ML approaches.
• Prepare and analyze experimental microscopy datasets.
• Develop, implement, and evaluate algorithms for the chosen research direction.
• Work with microscopy and software colleagues to assess performance and practicality.
• Document your methods and results, and present findings to the team.

Skills

Python

Analytical mindset

English communication

Teamwork

Education

Physics

Mathematics

Informatics/CS

Electrical Engineering

Job description

Thermo Fisher Scientific invites applications for an AI/ML Applications Intern in Eindhoven. You will explore ML methods to improve electron microscopy workflows, focusing on intelligent acquisition, navigation, image analysis, and optimization.

The role blends ML, physics, and computer science in a hands-on R&D setting with state-of-the-art equipment. Responsibilities include formulating research questions, reviewing literature, analyzing microscopy data, and developing algorithms.