Postdoc Fellow - Machine Learning for Multimodal Image Analysis
AstraZeneca / Biomedicinjobb / Göteborg
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hela Sverige 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. We're proud to have a unique workplace culture that inspires innovation and collaboration. We believe in the potential of our people and you'll develop beyond what you thought possible.
The new R&D Oncology organisation brings together early and late oncology teams, from discovery through to late-stage development, with oncology specific Regulatory and Biometrics groups.
You'll be in a global pharmaceutical environment but also exposed to strong rigorous academic science. For example, every postdoc has an external academic mentor to ensure we are working and publishing at the highest level in a field. 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 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. 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. Furthermore, there will be collaboration with world recognized experts in the field.
Education and Experience required:
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.
* 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
Desirable:
* 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
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 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 in Gothenburg, Sweden with an opportunity of a secondment in Nijmegen, The Netherlands, with a competitive salary on offer. To apply for this position, please click the apply link below.
Advert opening date - 31st May 2019 / Advert closing date - 9th August 2019
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.
Varaktighet, arbetstid
Heltid Temporary
Publiceringsdatum2019-06-03ErsättningNot Specified
Så ansöker duSista dag att ansöka är 2019-06-20
Ange följande referens när du ansöker: R-046185
Klicka på denna länk för att göra din ansökanKontaktAstraZeneca UK
Emma.wood@astrazeneca.comFöretagAstraZeneca
AdressAstraZeneca
43183
43183 1480
KontorsadressPepparedsleden 1
Jobbnummer 4815643
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