Industrial PhD position

3 weeks ago


Gothenburg, Västra Götaland, Sweden AstraZeneca Full time

Are you ready to take the next step in your career and make a real impact in the field of data-driven life science? We have an exciting opportunity for an Industrial PhD student to contribute to a project that utilizes machine learning to enhance diagnostic and reporting processes in clinical kidney pathology. This collaboration involves AstraZeneca, the Royal Institute of Technology (KTH), and Karolinska Institutet, supported by Data-Driven Life Science (DDLS). The selected candidate will also be part of the DDLS Research School, with guidance from Magnus Söderberg (Senior Director, Cardiovascular Renal Metabolism Pathology) at AstraZeneca and Kevin Smith (Associate Professor) at KTH. The role will be based at KTH in Stockholm, Sweden.

Responsibilities

As an Industrial PhD student, you will be tasked with integrating various data types, primarily histopathology digital images and diagnostic pathology text. Your role includes developing models to automate text generation from image data and vice versa. Additionally, you will explore effective ways to incorporate these models into standard clinical and industrial pathology workflows, as well as document your insights in manuscripts for prominent international conferences and journals.

Requirements

  • Masters degree in a relevant field
  • Strong mathematics background
  • Machine learning expertise
  • Experience in natural language processing (NLP) and computer vision (CV)
  • Proficiency in PyTorch, TensorFlow, or Jax
  • Ability to operate in a Linux console environment

To excel in this position, demonstrating autonomy in your work is crucial. You should possess outstanding collaboration skills, a professional demeanor, and the ability to analyze intricate problems effectively.

Preferred Qualifications

  • Previous involvement in applying machine learning in life science

Interested?

We invite you to submit your application by June. Applications will be assessed regularly, so early submissions are encouraged.

If you are passionate about science and aspire to contribute to impactful medical breakthroughs, seize this opportunity to join our forward-thinking team. Take the first step today

Date Posted

27th May 2024

Closing Date

6th June 2024Our goal is to foster an inclusive and fair environment where everyone feels valued at AstraZeneca and Alexion, starting from the recruitment phase. We embrace applications from all qualified individuals, regardless of background, and provide reasonable adjustments to support all candidates' performance. If you require any accommodations, please indicate this in your application form.

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