Topics: Design algorithms for efficiently solving PINNs, implement them and use them to solve inverse problems. Possibly apply them to industrial applications.

PI in charge: David Pardo

Salary and conditions: The gross annual salary of the Fellowship will be 29.120€ – 35.360€ according to experience. It will then be on your own responsibility to make your yearly income declaration at the Bizkaia Treasury Agency. Additionally, we offer a moving allowance up to 2.000€. Should the researcher have a family at the time of recruitment: 1. 2.000€ gross in a single payment will be offered (you must be married-official register or with children and the certificate to prove it must be sent). 2. 1.200€ gross per year/per child (up to 2 children) will be offered (the certificate to prove it must be sent).

How to apply: Applications must be submitted on-line at: https://joboffers.bcamath.org/

Scientific Profile Requested Requirements: Ph.D. Degree in Engineering, Mathematics, Physics, or related fields. IC2023_09 BCAM International Call Skills and track-record: Good interpersonal skills. Fluency in spoken and written English. Ability to effectively communicate and present research ideas to researchers and stakeholders with different backgrounds.

Scientific Profile: Strong background in numerical analysis, some knowledge of neural networks, and some experience in programming. Also, a proven publication record. Application and Selection Process

Formal Requirements: The selected candidate must have applied before the application deadline online at the webpage https://joboffers.bcamath.org/ The candidates that do not fulfil the mandatory requirements will not be evaluated with respect to their scientific profile. Additional documents could be requested during the evaluation process so as to check this fulfilment.

Application: Required documents:
• CV
• Letter of interest
• 2 recommendation letters
• Statement of past and proposed future research (2-3 pages)

Evaluation: 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 statement of past and proposed future research and other merits; taking in account the alignment of these items to the topic offered.