Back to search results

Development of next generation deep learning methods for image recognition and large data analysis - ConvNets, CapsNets and beyond.

AstraZeneca

Location: Cambridge, Gothenburg - Sweden
Salary: Not Specified
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 23rd October 2018
Closes: 22nd November 2018
Job Ref: R-037087
 

We’re looking for a talented machine learning expert to join our innovative academic-style Postdoc. From our centre in Gothenburg or Cambridge, you’ll be in a global pharmaceutical environment contributing to live projects from the start. You’ll have a comprehensive training programme including a focus on drug discovery and development, given access to our existing research, and encouraged to pursue your own research in state-of-the-art laboratories.

You’ll be supported by a leading academic advisor who’ll provide guidance and knowledge to help develop your career. An exciting area that hasn’t been explored to its potential makes this an opportunity to make a real difference to the future of medical science.

AstraZeneca is a global biopharmaceutical business focussing on the discovery, development and commercialisation of prescription medicines for the world’s most serious diseases. We’re proud to have a unique culture that inspires innovation and collaboration; employees are empowered to express diverse perspectives and are made to feel valued, energised and rewarded.

One of the greatest challenges in drug development is mapping pharmacokinetic and toxicological properties, predicting how new chemicals will react within the human body. We ensure our products are safe for clinical trials and ultimately safe for patients, so you’ll be working with cutting-edge in-silico, in-vivo, cellular and molecular technologies to push the boundaries of predictive science. You’ll work in an industry leading AI group with a strong publication record.

Essential:

  • Undergraduate in a relevant discipline (computer science, mathematics or similar numerical subject)
  • Expert knowledge in mathematical subjects like linear algebra, probability theory (classical probabilistic distributions, laws of large numbers, Bayesian probability), calculus, differential equations
  • PhD in a relevant subject
  • Fluent written and spoken English

Desirable:

  • Strong analytical background in a core area of machine learning and image processing (including deep learning)
  • Publication record in deep learning or machine learning with primary author articles in high-impact conferences and journals
  • Proven 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
  • Knowledge of biological processes, medical research and drug development

About You:

  • Interested across a broad spectrum of theoretic fields
  • Creative
  • Dares to take risks
  • Excellent team work
  • Good leadership capabilities
  • Broad network with world-leading machine learning groups
  • Extracting and modelling large biological and medical data sets
  • Interact closely with experimentalists who will validate your work
  • Aiming to publish in high-impact journals

This is a 3-year programme. 2 years will be FTC with a 1-year merit-based extension. You will be based in Gothenburg with opportunity of secondment in Cambridge, UK.

AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants 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 or any other characteristic protected by law.

   
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

Job tools
 
 
 
More jobs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge