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Location:
Gothenburg, Västra Götaland County, Sweden
Job reference: R-037087
Posted date: Oct. 11, 2018
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Postdoctoral Long Title: Development of next generation deep learning methods for image recognition and large data analysis – ConvNets, CapsNets and beyond.

We’re currently looking for talented and curious machine learning expert to join our innovative academic-style Postdoc. From our centre in Gothenburg, Sweden, or Cambridge, UK, you’ll be in a global pharmaceutical environment, contributing to live projects right from the start. You’ll take part in a comprehensive training programme, including a focus on drug discovery and development, given access to our existing Postdoctoral research, and encouraged to pursue your own independent research in state of the art laboratories. It’s a rapidly growing programme spanning a range of therapeutic areas across a wide range of disciplines.

What’s more, you’ll have the support of a leading academic advisor, who’ll provide you with the guidance and knowledge you need to develop your career. This is an exciting area that hasn’t been explored to its full potential, making this an opportunity to make a real difference to the future of medical science.

AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious diseases. But we're more than one of the world's leading pharmaceutical companies. AstraZeneca, we're proud to have a unique workplace culture that inspires innovation and collaboration. Here, employees are empowered to express diverse perspectives - and are made to feel valued, energised and rewarded for their ideas and creativity.

One of the greatest challenges when discovering and formulating effective medicines lies in mapping their pharmacokinetic and toxicological properties, predicting how new chemicals will react within the human body. We ensure our drug products are safe for clinical trials, and ultimately safe to deliver as novel treatments to patients. To make that happen, you’ll be working with truly cutting-edge in silico, in vivo, cellular and molecular technologies to push the boundaries of predictive science.

This is a unique opportunity to work within the field of deep learning technology and to apply own findings to advanced medical image databases and large data sets and ultimately improve human health. You’ll work in a well-recognized industry leading AI group with a very strong publication track record in developing deep learning architectures for drug design and see the predictions made experimentally

Minimum Requirements, Education and Experience

Essential:

• An Undergraduate in a relevant discipline like computer science, mathematics or similar  

  numerical discipline (e.g. physics, engineering)

• Intuitive expert knowledge in mathematical subjects like linear algebra, probability theory (e.g.   

  classical probabilistic distributions, laws of large numbers, Bayesian probability), calculus,  

  differential equations etc.

• Ph.D. (or near to completion) in a relevant subject, like machine learning, computer science,

  statistical signal processing or a closely related field.

• Fluency in written and spoken English

Desirable:

• Expertise and strong analytical background in a core area of machine learning and image

   processing, including but not limited to deep learning

• A publication record in deep learning or machine learning, or relevant applications, with  

  primary author articles in high-impact conferences and journals

• Proven expert experience in programming in a language relevant to the project like C++,   

   Python, etc.

• Application of machine learning to relevant scientific problems, preferably experience in    

  designing deep learning architectures

• Basic knowledge in biological processes, medical research and drug development

Skills and Capabilities required:

• Being interested across a broad spectrum, from core machine learning or deep learning  

   research to theoretic fields.

• Showing creativity, ideas and dare to take risks in proving hypotheses

• Excellent team work and good leadership capabilities

• Having a broad network with world leading machine learning groups

• Extracting and modelling large biological and medical data sets

• Interact closely with experimentalists that will validate your models and predictions

• Aiming to publish in high-impact journals

This is a 3 year programme.  2 years will be a Fixed Term Contract, with a 1 year extension which will be merit based.  The role will be based at Gothenburg, Sweden with opportunity of secondment in Cambridge, UK, with a competitive salary on offer. To apply for this position, please click the apply link below.

Advert opening date – 11th October 2018 / Advert closing date – 22nd November 2018

AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, gender or gender orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.

If you share our passion for scientific excellence, find out more at; https://careers.astrazeneca.com/students/programmes/post-doctoral-programmes

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PostDoc Fellow in Artificial Intelligence
Scientific

AstraZeneca in Sweden

At AstraZeneca in Sweden we'll make the most of your skills and passion by actively supporting you. To do this, we've created a great working environment that's full of world-class talent, and opportunities for collaboration and innovation. If you're inspired by the possibilities of science to make a difference and ready to discover what you can do - join us.

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