Skip to content Skip to navigation

Open Postdoctoral position, faculty mentor Leora Dresselhaus-Marais

Important Info

Faculty Sponsor (Last, First Name): 
Dresselhaus-Marais, Leora
Stanford Departments and Centers: 
Geballe Lab for Adv Mat
Postdoc Appointment Term: 
2-3 years
Appointment Start Date: 
February 2022 to September 2022
How to Submit Application Materials: 

Send the required application materials for the position to sybkatz@stanford.edu for consideration.
Preliminary applications will be reviewed and responses sent out on a weekly basis until the position is filled.
 

Postdoctoral researcher in this position will lead the development of our new metal-AM directions, including designing, building, and analyzing new ultrafast X-ray microscopes to characterize defect formation in-situ during laser powder-bed fusion. The work will include studies of a few different materials including aluminum and refractory metals to explore the fundamental science behind defect and bubble formation. Given the other interests of our group, the postdoc in this position will also have opportunities to engage in related projects in the group on optics design, machine learning, dislocation characterization, steelmaking, and shock physics. The work will focus on the fundamental science of AM but will include strong collaborations with national-lab and industrial partners.
 
This posting is for a full-time position as a Postdoctoral Researcher at Stanford University in the Department of Materials Science and Engineering for 2-3 years with Prof. Leora Dresselhaus-Marais. Work will be split between the Geballe Laboratory for Advanced Materials and the SLAC National Accelerator Lab. Starting date is flexible over the range of Feb – Sept 2022.

Required Qualifications: 
  • Candidates must have significant experience in metal additive manufacturing – preferably focused on laser powder-bed fusion or a related technique.
  • Candidates must have a PhD in MSE, Mechanical Engineering, or a related field before starting the position.
  • Candidates should be strong leaders for scientific projects, and will be expected to work closely to mentor new graduate students who will be working on related projects.
  • Preference will be given to candidates who also have experience in advanced data analysis, machine learning, imaging science, and/or microstructural characterization.
Required Application Materials: 

1.) Cover letter explaining your research interests & career goals (1-pg max)
2.) Updated CV with publications, experience, presentations, skills, etc.
3.) Names, affiliations, and contact information for 3 professional/academic references

 

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.