The group will join Binghamton University in August 2024!
The Multiphysics modeling group (https://sites.google.com/site/tanjifu/) in
Mechanical Engineering at is inviting applications for funded PhD positions to
join the research team. The group is working on various exciting projects funded
by the National Science Foundation (NSF) such as large-scale blood flow
modeling, clot mechanics, parallel computing with CPUs and GPUs, design and
optimization, and physics guided deep learning. The group has access to
excellent high performance computational facilities both at Binghamton and
Argonne National Laboratory (ANL) through close collaborations. Dr. Tan is a
recipient of 2024 NSF CAREER award, the most prestigious award presented by the
NSF to support junior faculty. Dr. Tan is also a guest faculty to ANL. In the
past, several students out of the group have worked at ANL as interns during the
summer. The alumni from the group have successfully landed positions in Boeing,
SIEMENS, Navistar, United Imaging Healthcare.
About Binghamton University:
Binghamton University is a world-class public university. It is ranked as one of
the top 10 public Ivy League schools by Forbes in 2024, and 73rd by US News and
World report in 2024. It was named the best public university in New York State.
It offers over 130 interdisciplinary educational programs and is known for its
vibrant national-level research. It is classified as an 'R1: Doctoral University
- Very high research activity.'
About the Thomas J. Watson College of Engineering and Applied Science:
Named after the founder of IBM, Binghamton University's Thomas J. Watson College
of Engineering and Applied Science was established in 1983. Today, it is the
fastest-growing engineering college in New York State, offering undergraduate,
master's, and doctoral programs in 10 different fields to over 3,100 students.
Each year, the Watson College hosts over 2,000 undergraduate students, 425
doctoral students, and 625 master's students from more than 50 countries. It
hosts its own career fair WATSON CAREER EXPO!
Qualifications:
• A master's degree in mechanical engineering or a related field is
preferred. However, students with a bachelor's degree are also encouraged to
apply.
• Self-motivated
• Strong background solid/fluid mechanics, and mathematics.
• Excellent programming skills (e.g., matlab, python, c/c++).
• Interest in computational mechanics, computational fluid dynamics,
machine learning, and biomedical engineering.
• Strong written and verbal communication skills.
• Ability to work both independently and collaboratively in a research
team
Financial support:
The selected Ph.D. candidate will receive a competitive stipend, tuition
remission, and health insurance as part of their funding package. This position
also offers opportunities for travel to conferences and research-related events.
Application procedure:
Interested candidates should contact Dr. Tan at jifutan@binghamton.edu with the
following materials and then qualified candidates will be encouraged to submit
the application through
https://www.binghamton.edu/admissions/graduate/apply/index.html
• A short cover letter describing research motivation/interest.
• A detailed curriculum vitae (cv).
• Transcripts of undergraduate and graduate coursework(if availaible).
• A sample of your research work or publications (if available).
• TOEFL/GRE score(if available)
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