Postdoc Fellow - Machine Learning for Multimodal Image Analysis
AstraZeneca AB / Biomedicinjobb / Göteborg
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hela Sverige We're currently looking for talented and curious machine learning expert to join our innovative academic-style Postdoc program. 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 cutting edge laboratories. You get access to a wide range of professional network in machine learning and AI. It's a newly expanding 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 and in the field of machine learning.
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.
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 multi-'omics data sets to ultimately improve human health. The successful candidate will 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. Furthermore, there will be collaboration with world recognized experts in the field.
Requirements, Education and Experience
• 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.
• Proven expert experience in programming in a language relevant to the project like C++,
Python, 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
Skills and Capabilities required:
Essential:
• Expertise and strong analytical background in a core area of machine learning, image
processing or big data analysis, 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
• 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
Desirable:
• 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 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 either Gothenburg, Sweden or Cambridge, UK] with opportunity of secondment in Nijmegen, The Netherlands, with a competitive salary on offer.
Advert opening date - 16th April 2020
Advert closing date - 31st May 2020
AstraZeneca welcomes applications from all sections of the community.
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual 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-programmesVaraktighet, arbetstid
Heltid Temporary
Publiceringsdatum2020-04-16ErsättningNot Specified
Så ansöker duSista dag att ansöka är 2020-04-23
Klicka på denna länk för att göra din ansökanFöretagAstrazeneca AB
Arbetsgivarens referens Arbetsgivarens referens för detta jobb är "R-075675".
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Astrazeneca AB (org.nr 556011-7482)
Körkort För detta jobb krävs körkort.
Arbetsplats AstraZeneca
Jobbnummer 5192462
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