Postdoctoral Fellow: Deep Learning and Computer Vision
Location: Gothenburg, Sweden
Do you have expertise in, and passion for deep learning and computer vision? Would you like to apply your expertise to drive research into data drive, reusable, novel endpoint discovery and validation in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be the place for you!
AstraZeneca is a global, science-led, patient-centred biopharmaceutical company focusing on discovering, developing, and commercialising prescription medicines for some of the world’s most serious diseases. But we’re more than a global leading pharmaceutical company. At AstraZeneca, we‘re dedicated to being a Great Place to Work and empowering employees to push the boundaries of science and fuel their entrepreneurial spirit. There’s no better place to make a difference in medicine, patients, and society.
About the Postdoc Programme:
Bring your expertise, apply your knowledge, follow the science, and make a difference. AstraZeneca’s Postdoc Programme is for self-motivated individuals looking to deliver exciting, high-impact projects in a collaborative, engaging and innovative environment. You'll work with multidisciplinary scientific teams from a diverse set of backgrounds and a world-class academic mentor specifically aligned to your project. Our postdocs are respected as specialists, encouraged to speak up, and supported to share their research at conferences, publish papers, achieve their goals and make a difference to our patients.
This is a 3-year programme, with an initial 2-year period and 1-year merit-based extension.
About the Opportunity:
We’re now looking for a Postdoctoral Fellow to join our Centre for AI within our Cardiovascular, Renal and Metabolism (CVRM) Therapy area.
This opportunity will provide invaluable insight and experience into cutting edge techniques, with direct medical science application and the opportunity to enjoy deep experience with truly impactful AI in industrial life science. As part of the programme, you will be co-supervised by senior Data Scientist from our Data Science and AI team as well as an experienced academic advisor.
This is a truly unique opportunity to further the science of applied machine learning in the pharmaceutical industry, with the support and supervision from Philip Teare, Head of Computer Vision in AstraZeneca´s Centre for AI. You will explore and evidence the limits and potentials of self-supervised learning in high dimensional data with quantitative parametric outputs, ready for medical expert interpretation. You will have the chance to learn from seasoned industry professionals and rising stars within the field of AI and computer visionand get to understand the challenges and opportunities of the biopharma industry,whileplanning for high impact publication from day one.
Qualification, Skills & Experience:
- PhD in Computer Science, Medical Computer Vision, AI, Physics, Diagnostics, Radiology, or another related quantitative field
- Strong background in deep learning and self-supervise learning
- Familiarity with related frameworks (Keras, PyTorch, JAX)
- Experience in Computer Vision and related techniques and tools (OpenCV, PIL, Torch Vision)
- Some experience in object-oriented programming in languages such as Python or C++
- Openness to learn
- Strong communication skills with regards to related concepts
- Biology, life science or related background or experience
- Deep understanding and experience with modern self-supervised learning techniques
- Track record of work published in reputable scientific journals and conferences
Ready for an exciting, rewarding challenge?Apply today!
Advert Opens: February 21 2023
Advert Closes: March 26 2023
Where can I find out more?
AstraZeneca’s Postdoc Programme
Data Science & Artificial Intelligence at AstraZeneca
Our Therapy Areas - Cardiovascular, Renal and Metabolism (CVRM)
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.