Topics: Machine Learning for COVID-19 prognosis
The postdoctoral researcher will work on the research project “Early prognosis of COVID-19 infections via machine learning” funded by AXA Research Fund.
PI in charge: Santiago Mazuelas
Salary and conditions:
The gross annual salary of the Fellowship will be 28.000 - 32.000€.
It will then be on your own responsibility to make your yearly income declaration at the Bizkaia Treasury Agency.
There is a moving allowance for those researchers that come from a research institution outside the Basque Country up to EUR 2,000 gross.
Free access to the Public Health System in Spain is provided to all employees.
No Positions offered: #1
Contract and offer: 1-year contract (with possible extension up to 2 years)
Deadline: 20th October 2021, 14:00 CET (UTC+1)
How to apply:
Applications must be submitted online at: http://www.bcamath.org/en/research/job
Skills and track-record:
The selected candidate must have applied before the application deadline online at the webpage http://www.bcamath.org/en/research/job
The candidates that do not fulfil the mandatory requirements will not be evaluated with respect to their scientific profile.
Based on the provided application documents of each candidate, the evaluation committee will evaluate qualitatively: the adaption of the previous training and career to the profile offered, the recommendation letters, the main results achieved (papers, proceedings, etc.), the letter of interest, and other merits; taking in account the alignment of these items to the topic offered.
Incorporation: November 2021 or as soon as possible thereafter
The BCAM postdoctoral contract will start when the selected candidate has finished the PhD, i.e. after dissertation defence.Continue reading
|Title||Postdoctoral Fellowship in COVID-19 prognosis|
|Employer||BCAM - Basque Center for Applied Mathematics|
|Job location||Alameda de Mazarredo 14, 48009 Bilbao, Bizkaia|
|Published||September 22, 2021|
|Application deadline||October 20, 2021|
|Job types||Postdoc  |
|Fields||Epidemiology,   Artificial Intelligence,   Computing in Mathematics, Natural Science, Engineering and Medicine,   Programming Languages,   Infectious Diseases,   Computational Mathematics,   Machine Learning  |