Averbis Internship Program

Start your career and take part in the Averbis Internship Program – a comprehensive program designed to strengthen and develop you in your career. As a member of the Averbis team, you will gain experience in working on innovative cutting-edge technologies, solve business challenges and learn from inspiring leaders. Start your career – learn from the best in the business.

What’s in it for you?

Practical

Experience the Averbis culture and build up practical knowledge and experience in real projects and their challenges

Lead

Discover your strengths as you face challenges that prepare you to make a difference

Learn

Gain real knowledge through practical experience in one of the exciting technology areas of our time

Open Positions

Internship Text Mining / NLP (m/F/D)
Topic: Understanding Medical Conversations

Abstract & Purpose

Studies show that doctors spend as much as 6 hours out of an 11-hour work day on documentation1. A substantial part of this time is spent on documenting diagnoses and medications of the patients, among others. In this thesis, we explore the idea to automatically extract these entities of interest from the initial patient-doctor dialogue. To accomplish this goal, current state-of-the-art speech-to-text algorithms should be combined with our text analysis engine that can extract many relevant entities from medical documents. A special focus will be put on dealing with this special question & answering structure that is typically present in a patient-doctor dialogue. The master student is encouraged to try different nature language processing approaches and to combine them with our existing framework.

What you bring along

  • You are a student or graduate of a study program (Uni/FH) of computer science, business informatics, mathematics or comparable
  • You are enthusiastic about machine learning methods and/or text mining
  • You have good knowledge in Python or Java and are familiar with frameworks like TensorFlow, scikit-learn, PyTorch (or similar frameworks)
  • German language skills are an advantage
Internship Text Mining / NLP (m/F/D)
Topic: Explainable Document Classification

Abstract & Purpose

Machine learning models for document classification often yield impressive results, yet their decision are hard to comprehend. This black-box behavior has some major downsides: For practitioners, it may lead to a lack of trust in machine learning models. For text mining engineers, it makes it very hard to improve incorrect classification decisions. In the thesis, the student should experiment with explainability and visualization methods for support vector machines, convolutional neural network and other recent deep learning approaches in the context of a document-classification task. The goal is to identify tokens or groups of tokens that are responsible for the model’s decision.

What you bring along

  • You are a student or graduate of a study program (Uni/FH) of computer science, business informatics, mathematics or comparable
  • You are enthusiastic about machine learning methods and/or text mining
  • You have good knowledge in Python or Java and are familiar with frameworks like TensorFlow, scikit-learn, PyTorch (or similar frameworks)
  • German language skills are an advantage

Application Process

Application

Submit your application together with your CV to  careers(Replace this parenthesis with the @ sign)averbis.com
Phone Interview

We talk on the phone and get to know each other
Personal Interview

We meet, show you averbis and talk about your and our expectations
Offer

Come on board and start your career @Averbis
Launch yourself into the world of AI, designed to get you ready for a future