UCSD Layoff from Career Appointment: Apply by 04/15/21 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.
Special Selection Applicants: Apply by 04/26/21. Eligible Special Selection clients should contact their Disability Counselor for assistance.
This position is open until filled. First Review Date: 4/27/21.
The UC San Diego Department of Bioengineering consists of ~25 ladder rank faculty, ~600 enrolled undergraduate students, ~280 graduate students, ~45 postdoctoral scholars, and ~115 staff positions. The department is consistently ranked as one of the top departments of Bioengineering in the world. It has a $10M annual allocation of State and University funds and holds a multi-million research portfolio (17.7 MIL in total contract & grant expenditures), including awards (but not limited) from the NIH, NSF, other federal flow through, and gifts/private funding. The Department of Bioengineering is one of six departments in the nationally ranked Jacobs School of Engineering. It enjoys close collaborations with the UC San Diego School of Medicine, the Institute of Engineering in Medicine (IEM), the Scripps Research Institute, the Sanford Burnham Institute, and the Salk Institute for Biological Studies, among other Divisions and Programs on campus.
The UC San Diego Department of Bioengineering offers the following graduate degrees: Masters of Engineering, Masters of Science, combined Bachelors of Science/Masters of Science, Ph.D. and (in conjunction with the UC San Diego School of Medicine) a combined M.D./Ph.D. degree program.
The Contijoch Research Laboratory focuses on developing imaging-based technologies for assessment of cardiopulmonary diseases. Specific to this role is the development of advanced image analysis methods such as machine-learning based image reconstruction, segmentation and classification techniques. The major commitment for this position requires carrying out research on memory and data efficient object detection, motion analysis and high resolution segmentation for 3D/4D cardiac CT/MR data and communicating the findings in form of publication at top computer science and radiology venues.
Theoretical knowledge in 3D computer vision specifically dealing with spatio-temporal radiology data.
Expertise in developing Neural Rendering and Differentiable Rendering algorithms with a focus on memory efficiency, spatio-temporal dynamics and applications to cardiac CT.
Proven track record of carrying out independent literature review, designing data collection, preparation and annotation pipelines, researching innovative solutions leading to publication in top Computer Science and Radiology venues.
Demonstrated experience in leading the technical development efforts in a research setting including collaboration with an interdisciplinary team (e.g. radiologists and bioengineers)
Strong understanding of sparse data representations like Octrees, Sparse Tensors and Meshes as well as state-of-the-art 3D/geometric deep learning architectures including but not limited to OctNets, Minkowski Convnets and Neural ODE based reversible networks.
Proficiency in Pytorch, Dockers, kubernetes and developing machine learning models that leverage large scale GPU clusters and cloud computing services like AWS as well as proficiency in developing custom CUDA code to realize next generation state-of-the-art deep learning architectures
Bachelor's degree in Computer Science and/or equivalent experience/training.
Excellent planning and organizational skills and ability to work in a changing, multiple-demand setting in order to prioritize a large volume of work and meet deadlines efficiently and accurately.
Knowledge of EH&S regulations and requirements for laboratory safety, including methods for handling, cleaning and disposal of waste.
Strong communication skills for oral presentations, written reports, and one-on-one laboratory training. Excellent interpersonal skills to effectively deal with a diverse workforce.
Experience and aptitude for management of laboratory personnel with regards to experimental direction, time management and safety issues.
Experience analyzing and interpreting data for research purposes.
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 8 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom - life is their laboratory. UC San Diego's rich academic portfolio includes six undergraduate colleges, five academic divisions and five graduate and professional schools. The university's award-winning scholars are experts at the forefront of their fields with an impressive track record for achieving scientific, medical and technological breakthroughs.