machine learning

The Uncertainty Quantification (UQ) Lab at the University of Houston (UH), led by Dr. Ruda Zhang, invites applications for:

• two (2) PhD student positions in areas of data-driven engineering and uncertainty quantification, and
• one (1) postdoctoral researcher in areas of surrogate modeling and data-driven dynamics.

For job details and updates, see lab webpage: https://uq.uh.edu/positions

 PhD Students - 2023

Joining: https://wwwfr.uni.lu/formations/fstm/doctoral_programme_in_computational...

PhD candidate on Machine Learning applied to Critical Zone sciences 

Ph.D. positions are available at the Multiscale Material Modeling Lab at the University of North Carolina at Charlotte. The Ph.D. students will develop and use tools such as machine learning, finite elements, and molecular dynamics to study the mechanical properties of materials. Candidates with a strong background and interest in solid mechanics, programming, and computational solid mechanics are encouraged to submit their CV to atabarra@uncc.edu. In your CV please include the name and contact information of three references.  

Dr. Lei Wang’s research group at the University of Cincinnati (UC) is seeking two high-motivated and talented PhD students to be appointed as Graduate Assistants to conduct geotechnical engineering research in the Department of Civil and Architectural Engineering and Construction Management, beginning January 2023 or August 2023. 

I would like to draw your attention to our recently proposed predictive method based on a semi-empirical model (LEFM) and Neural Network, exploiting the Physics-informed Machine Learning concept. We show how the accuracy of state-of-the-art fatigue predictive models, based on defects present in materials, can be significantly boosted by accounting for additional morphological features via Physics-Informed Machine Learning.

Join the Simpleware Product Group at Synopsys and nTopology for a webinar this month on automated segmentation and design workflows for patient-specific surgical guides.

Learn more and register for this free event here: https://register.gotowebinar.com/register/3232312822632785679?source=iMe...

I am seeking a motivated and qualified postdoctoral fellow with expertise in the field of machine learning (ML)-informed materials design. In particular, the postdoctoral fellow will work closely in collaboration with other experimentalists and modelers within the newly established AI for Materials Design (AIMD) facility at JHU for the design of new refractory multi-principal-element alloys (RMPEAs) by identifying their processing-structure-property-performance relationships for high-strain-rate and high-temperature-rate applications.

Synopsys are running a webinar this month on using AI medical image segmentation in Simpleware software to scale-up patient-specific workflows, save time, and free up staff resources. Highly recommended if you haven't yet had a chance to review the tools in Simpleware software.

Register here: https://register.gotowebinar.com/register/4951806069167092496?source=iMe...

Over the past several years, machine learning (ML) applied to problems in mechanics has massively grown in popularity. Here is a figure from a slide that I made in early 2020 referencing a few examples from the literature — already this slide feels out of date! All of these authors (and many many others) have published new papers on this topic. 

Structural Integrity and MEchanical Design (SIMED) group is seeking a 1-year full-time Postdoctoral Researcher in Machine Learning applied to fracture mechanics. The successful applicant will work at the Polytechnic Engineering and Architecture Department (DPIA) of the University of Udine, under Dr Enrico Salvati’s supervision.

Two postdoc positions in computational science are available at UIUC in the research group of Prof. Harley T. Johnson in the Department of Mechanical Science and Engineering and the Materials Research Lab.  

4 fully-funded PhDs are available in Delft University of Technology under the joint supervision of researchers from the Faculty of Aerospace Engineering and the Faculty of Electrical Engineering, Mathematics and Computer Science. We will explore the exciting interdisciplinary areas of Quantum Computing and M

Applications are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Agroecology programme. The position is available from 1st February 2022 or later.

Two funded Ph.D. positions in the broad area of computational mechanics are available in Dr. Yuan’s research group (https://wp.wpi.edu/yuan/) at the Aerospace Engineering Department at Worcester Polytechnic Institute. Self-motivated individuals with research experience/ strong passion in ONE or more of the following areas are strongly encouraged to apply,

Postdoc Open Positions

Postdoc positions with financial support (up to 3 years) are immediately available in the Department of Mechanical Engineering, University of Connecticut (UConn).

Required Degree:

Ph.D. in Engineering Mechanics, Chemical, Mechanical, or Civil Engineering, Material Science, Condense Matter Physics, or Computational Chemistry.

The Advanced Computational Materials Engineering Laboratory (ACME Lab), in the Department of Mechanical Engineering at The University of Alabama is seeking qualified candidates for an open PhD position. This position is open to US citizens only.

Ondřej Rokoš, Vlado Menkovski, and Marc Geers (all from the Eindhoven University of Technology), together with Martin Doškář (Czech Technical University in Prague), are searching for a motivated Ph.D.

The Sustainable Infrastructure, Geotechnics, and Materials (SIGMa) Lab at Howard University invites applicants for a Ph.D. position in multiscale simulation and characterization of polymer composites starting January 2022. Highly motivated individuals with strong computational, machine learning, microscopy and communication skills are encouraged to apply.

Responsibilities

We are now seeking to fill an academic position at Lecturer/Senior Lecturer/Reader rank for a successful academic to join the Division of Systems, Power and Energy Engineering. We specifically seek a candidate who can potentially contribute to the James Watt School of Engineering in the area of modelling of materials and/or processes at lower length scales where continuum assumption ceases to be valid.

Check out this webinar on the AI-enabled segmentation and landmarking tools in the latest release of Simpleware software - ideal if working with orthopedic and cardiology medical image data and you want to speed up tedious segmentation.

Registration is here: https://register.gotowebinar.com/register/2163352213172894476?source=IMe...