Open Position - Data Science Intern

Nagi’s technology employs robotics and AI for the automated culture and analysis of micro-organisms within microfluidic chips, as powerful biological models to investigate human diseases and test their potential cures. In this framework, we are currently looking for a highly motivated intern to join our team and actively improve the company’s core computer vision algorithms. 

Main tasks and responsibilities:

The intern will directly work with Nagi’s software and data science team on the following tasks:

  • Improvement of the performance of our instance segmentation algorithm for the detection of worms and other objects in microscope images.
  • Exploring various techniques, such as data augmentation, and leveraging unlabeled data by using self-supervised and unsupervised methods.
  • Exploring state-of-the-art computer vision methods and building new models that could be integrated into our data analysis pipeline.

Skills and experience required:

  • Knowledge of one or several programming languages (preferred Python)
  • Experience with machine learning algorithms and tools (e.g., PyTorch, TensorFlow), artificial intelligence, deep learning
  • Excellent presentation and communications skills
  • Analytic, structured, highly driven, and solution-oriented person

Preferred skills:

  • Experience in image processing and/or computer vision
  • Motivated to read scientific literature and keep up with the state-of-the-art
  • Interest in engineering applications in life sciences

What we offer:

  • A very dynamic, multidisciplinary, and international team of highly motivated people.
  • A modern working environment based at the EPFL Innovation Park in Lausanne, Switzerland.
  • The possibility to significantly contribute to shaping Nagi Bioscience’s future.
  • An excellent working experience and the possibility of a future career in a Swiss deep-tech startup with high potential and a clear vision.

Start date: as soon as possible

Type of contract: internship

Activity rate: 100%

Duration of contract:  preferably 4-6 months

Applicants should submit a cover letter and a detailed CV in PDF format