5 research positions available in image analytics and informatics at ASU:
- Assistant/Associate Research Professorship
- Postdoc Fellowship
- Research Software Engineer
- PhD Fellowship
- Visiting Scholarship/Studentship
Location:
Imaging Informatics Laboratory,
Department of Biomedical Informatics,
Arizona State University (ASU).
Professor: An Assistant/Associate Research
Requirements: Candidates must have a PhD in biomedical engineering, computer science, biomedical informatics, physics, mathematics or another relevant field.
Postdoc Fellowship: Postdoc grant is available in Image Analytics and Informatics.
Requirements: Candidates must have or soon expect to receive a PhD in biomedical engineering, biomedical informatics, physics, mathematics computer science, or another relevant field.
Research Software Engineer:
Requirements:
- Candidates must hold a degree in biomedical informatics, computer science, or any another relevant field,
- Exceptional skills in MATLAB, C++, Java, Perl, Python, and/or JavaScript programming, familiarity with high quality software practices (fast-prototyping, test-driven development, design patterns, etc.),
- Demonstrated software development expertise (e.g., active github account, successful project, and documented open-source contribution).
- Good understanding of algorithms in image analysis, computer graphics, computer vision, and machine learning.
PhD Fellowship in Image Analytics and Informatics
Requirements:
- Candidates must a degree in biomedical engineering, biomedical informatics, physics, mathematics computer science, or any another relevant field,
- Strong mathematical and programming skills are expected.
- Applicants skilled in image analysis, computer vision, computer graphics, machine
Visiting Scholarship/Studentship in Image Analytics and Informatics:
Requirements:
- Candidates must have degree in biomedical engineering, computer science, biomedical informatics, mathematics physics, or other relevant field.
- Strong mathematical and programming skills are expected.
- Applicants skilled in image analysis, computer vision, computer graphics, and machine learning are encouraged to apply.