Internship / Master Thesis (m/f/d) Explainable AI for Industrial Applications

Key Skills

Analytical and Problem solving, Docker, JavaScript, Natural Language Processing (NLP), NumPy, PyTorch, Tableau, TensorFlow, UI design, UX design

Job Description

Take your next career step at ABB with a global team that is energizing the transformation of society and industry to achieve a more productive, sustainable future.

At ABB, we have the clear goal of driving diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity and generations. Together, we are embarking on a journey where each and every one of us, individually and collectively, welcomes and celebrates individual differences.

Looking for a taste of working life in an international, future-focused corporate group? Then join us as an intern (m/f/d) and familiarise yourself with a suitable department for 3 to 6 months. You will be involved in large-scale projects and perform a defined set of duties independently. Use your internship to build a network and become familiar with our company.

We believe in fairness, so interns who join us will benefit from our expertise as they expand their own knowledge. We give you the scope to try things out for yourself and obtain practical experience. Your time is valuable, so you will receive appropriate remuneration for the duration of the internship.

Please note that internships are generally limited to six months, while voluntary internships during a bachelor course are for a maximum of three months.

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.

Your responsibilities

• We are seeking an intern for our Internship / Master Thesis (m/f/d) Explainable AI for Industrial Applications position. As part of this role, you will dive deep into the domains of natural language processing and time series analysis, exploring, deploying, and developing cutting-edge machine learning models. Your focus will be on creating and refining explainable AI solutions and crafting interactive tools to bring transparency to complex AI systems in an industrial context.
• As our Explainable AI intern, your responsibilities will encompass a variety of tasks, including but not limited to:
• Developing and customizing deep learning models for natural language processing (NLP) and time series analysis in industrial applications.
• Employing explainable AI (XAI) principles to provide clear insights into the decision-making processes of our models across both NLP and time series contexts.
• Investigating and implementing techniques to leverage expert feedback for data augmentation, enhancing the performance and relevance of our models.
• Gaining hands-on experience with cutting-edge NLP techniques, emerging XAI technologies, and large-scale industrial data sets.
• You will also develop python-based web applications for demonstrating the algorithms and results.
• Participating in research projects within our international and inspiring work environment, offering a chance to understand the workflow and dynamics of industrial research

Your background

• Currently enrolled in a Master's program in Computer Science, Data Science, Artificial Intelligence, Engineering, Computer Linguistics, Applied Mathematics or a related field.
• Solid understanding of machine learning principles, with a focus on natural language processing (NLP) or time series analysis.
• Interest in explainable AI (XAI) principles and techniques.
• Strong programming skills in Python.
• Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
• Ability to work with large-scale datasets and experience with data pre-processing and augmentation techniques.
• Strong problem-solving skills, analytical thinking, and a passion for research.
• Good written and oral communication skills in English.
• Ability to work well in an international team and adapt to an agile working environment.
• Previous experience in an industrial setting or with industrial data is a plus, but not a requirement.