This position reports to
R&D Engineer
Your role and responsibilitiesWe are looking for candidates motivated to drive forward interdisciplinary methods and technologies at the intersection of data science and robotics towards real-world industrial applications. We are offering an internship with the possibility of a subsequent Master’s thesis contract (in case of successful internship). Please apply if you are interested in both. Tasks you will be looking at:•\tData generation and processing•\tFamiliarization with robotics technologies•\tCreation and training of deep learning models•\tSelection and fine-tuning of open-source models•\tLooking into state-of-the-art research in multimodal deep learning•\tOffering your own ideas and solutions
Qualifications for the roleCurrently studying computer science, data science, machine learning, or a related field.Strong programming skills in Python, PyTorch, Pandas, and NumPy.Experience in data processing and training deep learning models using PyTorch.Fluent in English, both written and spoken.Ability to work independently and drive tasks to completion.Structured, goal-oriented, and organized work style.Strong team collaboration skills and effectiveness in collaborative environments.Quick learner with a strong motivation to acquire new skills and technologies.
More about usWe value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. #MyABBStoryWe believe in fairness, so interns who join us will benefit from our expertise as they expand their own knowledge. Your time is valuable, so you will receive appropriate remuneration for the duration of the internship. Please state whether you are applying for a voluntary internship or undertaking a mandatory internship, and be sure to enclose your certificate of enrolment. In the case of mandatory internships, please include the corresponding extract from your university’s internship guidelines. Interested? Then we look forward to receiving your informative application (cover letter, CV, certificate of enrolment, current transcript of grades and other supporting documents) through our online careers tool.