Applications are invited for two University Lectureships in Mechanics and Materials Engineering, to be known as the 'Granta Design University Lectureships in Engineering'.

This post is to invite you all to attend our second free on-line global live TAFMech webinar on Fracture Mechanics-related topics that will take place this Friday (22/1) at 9 am GMT. The webinar details are as follows:

Prof. David Taylor – Trinity College, Dublin, Ireland

Title of seminar: The Story of the Theory of Critical Distances

Date/time: 22 January 2021 at 9 am (GMT)

Several postdoctoral and graduate student openings with primary focus on biomechanics is available immediately in the Shenoy Research Group at the University of Pennsylvania. We are looking for strongly motivated candidates to work on NIH supported projects on 1) cell-matrix interactions in fibrosis and cancer and 2) nuclear mechano-transduction.   

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Institution: University of Windsor, Canada ( https://youtu.be/RuAxubYgKcM )

Professor: https://www.uwindsor.ca/engineering/mame/cherniaev

Salary: will be commensurate with the successful applicant’s qualifications and experience, and will be determined at the time of hiring.

Start date: immediately

Experimental results on nonlinear vibration localization in a cyclic chain of weakly coupled oscillators with clearance nonlinearity are reported. Numerical modelling and analysis complements the experimental study. A reduced order model is derived and numerical analysis based on the harmonic balance method demonstrates the existence of multiple classes of stable spatially localized nonlinear vibration states. The experiments agree very well with the numerical results.

Dear Colleagues,

Welcome to submit your abstract to USNCCM 16 Minisymposium: Machine Learning for Solving Inverse Problems in Computational Mechanics and Materials (http://16.usnccm.org/MS_325)

Position Summary:

This position requires a Ph.D. degree in Electrical Engineering or a related engineering field with experience on power electronics design and implementation from 100 W to 100kW. As part of this position, the candidate will be expected to contribute significantly to ongoing and potential future related projects, including ocean wave energy conversion, ocean tidal and current energy conversion, offshore wind energy, and regenerative vibration control, funded by the U.S DOE, ONR, NSF, national labs, and industry. The candidate will also be engaged with other research, development and outreach activities of the Center for Energy Harvesting Materials and Systems (CEHMS).

Roles and Responsibilities:

1.    Conduct research on topics across power electronics for off-grid and grid applications, including AC/DC and DC-DC converter design, energy storage, power management, maximum power tracking, feedback control, etc.

2.    Significantly contribute to multiple concurrent projects through research design, data collection, analysis, modeling, simulation, implementation, and demonstration.

3.    Manage project activities and staff, including mentorship of doctoral, master’s, and undergraduate students.

4.    Develop new research programs and other professional duties in a timely manner.

5.    Collaborate with faculty, researchers, staff, and students in the project team at VT and from external organizations, to:

a.        Successfully complete research deliverables;

b.       Disseminate efforts and findings from research and outreach initiatives including manuscripts in peer-reviewed publications, topical conferences, symposia, and workshops.

How to apply:

Candidates with required knowledge and experiences can send resume with contacts of three references to Prof. Lei Zuo (leizuo [at] vt.edu)

Lei Zuo, Ph.D,  Robert E. Hord Jr. Professor

Professor of Mechanical Engineering

Professor of Electrical and Computer Engineering

Director, NSF IUCRC Center for Energy Harvesting Materials and Systems

Virginia Tech,  Blacksburg, VA 24061, USA

  Email: leizuo [at] vt.edu, Phone: 540-231-7270

The Materials Theory Group at the School of Materials Engineering of Purdue University has a postdoctoral opening in the area of phase field modeling of oxide film growth. The postdoc will use the phase field approach to investigate the growth of metal oxide films in an oxidizing environment, emphasizing the film grain morphology, composition, and stress distribution. The ideal candidate will have a strong background in phase field modeling with elastic effects and excellent computational skills. For inquiry, please email Professor Anter El-Azab (aelazab [at] purdue.edu). This position is part of a collaborative project with a materials research and software development company, and it will be available as early as April 1, 2021. The position will remain open until filled. Interested candidates can send a curriculum vita with list of publications, about half a page statement of research interests, and the names and contact information of at least two references. The Materials Theory Group performs theoretical and computational research in the areas of dislocation dynamics and mesoscale plasticity, radiation effects in materials, phase field method and applications to microstructure evolution in materials, phonon and electron thermal transport in crystalline solids, and computational methods for materials science and mechanics.
EEO/AA Policy:
Purdue University is an EOE/AA employer. All qualified individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.
Department Website https://engineering.purdue.edu/MSE

cdmHUB invites you to attend the Global Composites Experts Webinar Series. 

Title: Novel Power Epoxy Composites for Thin-Section Structures

Speaker: Dr. Conchur O Bradaigh

Time: 1/21, 11AM-12PM EST.

Please go to https://www.purdue.edu/cmsc/events/2020-webinars/ to register for this webinar.

Energy, Control and optimization lab(ECO) at Stevens Institute of Technology has two immediate post doc positions.

The candidates should have a degree in Computer Science or have a prior experinec in Deep Learning and data analysis.

Please send your CV to shima.hajimirza [at] stevens.edu, if you have the right background and you can work as post-doc immediately.