Postdoctoral Fellow machine learning methods for reliable predicions – IA4TES project

  • Contract
  • FullTime

BCAM - Basque Center for Applied Mathematics


13 Jun 2023
Job Information

Organisation/Company
BCAM – Basque Center for Applied Mathematics
Research Field
Mathematics
Researcher Profile
Recognised Researcher (R2)
Country
Spain
Application Deadline
28 Jul 2023 – 23:59 (UTC)
Type of Contract
Temporary
Job Status
Full-time
Hours Per Week
35
Offer Starting Date
1 Sep 2023
Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?
No

Offer Description

Postdoctoral fellow working on machine learning methods for reliable supervised learning with applications to energy predictions. PI in charge: Santiago Mazuelas

Requirements
Skills/Qualifications

Good interpersonal skills.
– A proven track record in quality research, as evidenced by research publications in top scientific journals and conferences.
– Demonstrated ability to work independently and as part of a collaborative research team.
– Ability to present and publish research outcomes in spoken (talks) and written (papers) form.
– Ability to effectively communicate and present research ideas to researchers and stakeholders with different backgrounds.
– Fluency in spoken and written English.

Specific Requirements

Promising young researchers with experience working on machine learning methods and strong publications, PhD degree preferable in Mathematics or Electrical Engineering. The preferred candidate will have:
– Strong background in mathematics/ probability/statistics.
– Background in statistical modelling and inference.

Additional Information
Work Location(s)

Number of offers available
1
Company/Institute
Basque Center for Applied Mathematics – BCAM
Country
Spain
State/Province
Bizkaia
City
BILBAO
Postal Code
E48009
Street
Alda. Mazarredo, 14

Contact

State/Province
Bizkaia
City
BILBAO
Website
http://www.bcamath.org
Street
Alda. Mazarredo, 14
Postal Code
E48009
E-Mail
[email protected]
Phone
+34 946 567 842

STATUS: EXPIRED

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