Ph.D. position at the University of the Basque Country (UPV/EHU, Spain) for the IN-DEEP European Doctoral Network Real-time inversion using self-explainable Deep Learning driven by expert knowledge

Updated: 2 months ago
Job Type: FullTime
Deadline: 20 Mar 2024

15 Feb 2024
Job Information
Organisation/Company

Universidad del País Vasco (UPV-EHU)
Department

Mathematics
Research Field

Mathematics » Computational mathematics
Engineering » Simulation engineering
Researcher Profile

First Stage Researcher (R1)
Country

Spain
Application Deadline

20 Mar 2024 - 23:59 (Europe/Madrid)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

40
Offer Starting Date

1 Apr 2024
Is the job funded through the EU Research Framework Programme?

HE / MSCA
Reference Number

DC1
Marie Curie Grant Agreement Number

101119556
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Reference number: DC1

PhD research topic: Optimized explainable deep learning algorithms for inverse problems. Applications in geophysics.

Host institution: University of the Basque Country (UPV/EHU), Bilbao, Spain

PhD Enrolment: University of the Basque Country (UPV/EHU), Bilbao, Spain

Main Supervisor: Dr. David Pardo, University of the Basque Country, [email protected]  

Co-supervisor: Dr. Judit Muñoz-Matute, Basque Center for Applied Mathematics, Spain, [email protected]

Scientific tasks:

  • To validate the performance of deep PDE solvers for parametric PDEs with traditional numerical methods. 
  • To design an explainable algorithm that guarantees the solution's uniqueness in Deep PDE solvers for inverse problems. 
  • To invert borehole resistivity measurements based on electromagnetic data.
  •  

    For more information on the IN-DEEP Doctoral Network, please visit https://www.in-deep.science  

     

    Expected outcomes:

  • A novel certified method and software for inverse problems in geophysics
  • Validation on benchmark problems with a dataset generated using Deep PDE solvers for parametric problems
  • Inversion of borehole resistivity measurements in a realistic Earth parametrization 
  • 2+ peer-reviewed publications
  • 2+ participation in relevant international conferences
  •  

    Eligibility Criteria:

    • Mobility: At the time of recruitment, the researcher must not have resided or carried out his/her main activity (work, studies, etc.) in Spain for more than 12 months in the 36 months immediately before the recruitment date. Time spent as part of a procedure for obtaining refugee status under the Geneva Convention or compulsory national service are not taken into account.
    • The candidate must be at the date of recruitment a doctoral candidate (i.e. not already in possession of doctoral degree). Researchers who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degree will not be considered eligible.
    • The candidate must agree to work exclusively for the action.

    Specific requirements:

    • Bachelor's degree in Science, Engineering, or any other related fields
    • Studies that grant access to a Ph.D. Program by September 1st , 2024. 
    • Programming skills: Previous experience programming in scientific computing.
    • Language: Excellent command of English, together with good academic writing and presentation skills.

    Preferred skills:

    • Familiar with neural networks and deep learning algorithms
    • Experience with numerical methods for partial differential equations
    • Able to work independently and flexibly, taking initiative where required
    • Able to communicate and collaborate effectively in a team setting

    Contract:Full-time contract

    Duration:36 months, including 2 secondments at other consortium members’ premises

    Estimated starting date: September 1st , 2024 at the latest

    Salary: The gross salary amounts to €32,098 (estimated) per year, which encompasses a mobility allowance of €600. Where applicable, the candidate will also receive a family allowance of €660 per month and a special needs allowance. 

    Evaluation criteria:

    • Step 1:
      • Academic performance during the undergraduate studies - 30 points
      • Research experience in the area of the call, including publications, projects, and internships - 30 points
      • Awards, honors, other significant roles and achievements as a student - 10 points
      • Additional coursework, certifications, training programs, continuous learning - 5 points
    • Step 2: Only for those scoring 50 or above in step 1:
      • Interview to assess communication skills, initiative, critical thinking, and motivation to pursue a PhD. - 15 points.
      • Letters of recommendation - 10 points 

    In case of candidates achieving equal scores, priority will be given to female applicants.

     

    Deadline:March 20th , 2024

    Application: Please send an email with your CV, a letter of interest (up to one page), and the contact information of two referees who can provide letters of recommendation to [email protected] .

    Women are encouraged to apply!

     


    Requirements
    Research Field
    Mathematics » Applied mathematics
    Education Level
    Master Degree or equivalent

    Skills/Qualifications

    Preferred skills:

    • Familiar with neural networks and deep learning algorithms
    • Experience with numerical methods for partial differential equations
    • Able to work independently and flexibly, taking initiative where required
    • Able to communicate and collaborate effectively in a team setting

    Specific Requirements

    Specific requirements:

    • Bachelor's degree in Science, Engineering, or any other related fields
    • Studies that grant access to a Ph.D. Program by September 1st , 2024. 
    • Programming skills: Previous experience programming in scientific computing.
    • Language: Excellent command of English, together with good academic writing and presentation skills.

    Languages
    ENGLISH
    Level
    Good

    Additional Information
    Benefits

    Salary: The gross salary amounts to €32,098 (estimated) per year, which encompasses a mobility allowance of €600. Where applicable, the candidate will also receive a family allowance of €660 per month and a special needs allowance. 


    Eligibility criteria
    • Mobility: At the time of recruitment, the researcher must not have resided or carried out his/her main activity (work, studies, etc.) in Spain for more than 12 months in the 36 months immediately before the recruitment date. Time spent as part of a procedure for obtaining refugee status under the Geneva Convention or compulsory national service are not taken into account.
    • The candidate must be at the date of recruitment a doctoral candidate (i.e. not already in possession of doctoral degree). Researchers who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degree will not be considered eligible.
    • The candidate must agree to work exclusively for the action.

    Selection process

    Evaluation criteria:

    • Step 1:
      • Academic performance during the undergraduate studies - 30 points
      • Research experience in the area of the call, including publications, projects, and internships - 30 points
      • Awards, honors, other significant roles and achievements as a student - 10 points
      • Additional coursework, certifications, training programs, continuous learning - 5 points
    • Step 2: Only for those scoring 50 or above in step 1:
      • Interview to assess communication skills, initiative, critical thinking, and motivation to pursue a PhD. - 15 points.
      • Letters of recommendation - 10 points 

    In case of candidates achieving equal scores, priority will be given to female applicants.

     


    Website for additional job details

    https://www.in-deep.science/

    Work Location(s)
    Number of offers available
    1
    Company/Institute
    Universidad del País Vasco (UPV/EHU)
    Country
    Spain
    State/Province
    Bizkaia
    City
    Leioa
    Postal Code
    48940
    Street
    Barrio Sarriena S/N

    Where to apply
    E-mail

    [email protected]

    Contact
    State/Province

    Bizkaia
    City

    Leioa
    Website

    https://www.in-deep.science/
    Street

    Barrio Sarriena S/N
    Postal Code

    48940
    E-Mail

    [email protected]
    Phone

    +34697373668

    STATUS: EXPIRED

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