Postdoctoral Fellow on Deep Learning for Structural Health Monitoring – IA4TES

Requirements: Applicants must have their Ph.D. completed or defended in an area of sciences before the contract starts
Skills:
• Good interpersonal skills.
• Fluency in spoken and written English
• 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, including industrial partners.
• Project proposal writing skills

The preferred candidate will have:
• Strong background in Deep Learning techniques for Structural Health Monitoring.
• Understanding on the existing works on using Deep Learning techniques for Structural Health Monitoring.
• Background in Inverse Problems.
• Good programming skills in Python and preferably, also Tensorflow.
• Interest and disposition to work in interdisciplinary groups