PhD/Postdocs/Research Engineers position in Machine Learning and Computer vision

Applications are invited for a variety of positions in data science, machine/deep learning, computer vision and computational modeling at the Oregon Health and Science University (OHSU) in Portland, Oregon, USA. The research will focus on development and implementation of machine learning and computer vision algorithms and their applications to biomedical data, especially for early cancer detection and precision oncology. The candidate will be a member of the renowned Knight Cancer Institute and the newly founded Center for Biomedical Data Science at OHSU. The candidate will also have the opportunity to interact with several leading international academic institutions and major industry partners with whom we have built collaborations. The PhD students will have their degrees awarded through the Department of Biomedical Engineering. Many of our trainees are employed by tech companies such as Microsoft, Nvidia, Intel, Apple and Amazon as well as big biotech companies such as Merck.


You Will:

• Work and collaborate with a diverse team of machine/deep learning experts, imaging scientists, cancer biologists, radiologists and medical doctors to build a new generation of artificial intelligence in cancer research, detection and treatment.
• Create, implement or apply algorithms and software in machine/deep learning for quantitative image analysis that will enable      discoveries in biomedicine in diseases such as cancer. The tasks may include image registration, segmentation, characterization, quantification, classification, prediction, multimodal integration, dynamic modeling, spatial analysis, representation learning, etc., using a variety of imaging modalities from microscopy to body imaging.
• Leverage the unique opportunity within the fields of computer vision, machine learning and cancer research provided by the unique data at OHSU for conventional and unconventional modeling with clinical and biomedical relevance, such as semi-supervised machine learning, multi-omics integration, and generative AI methods.
• Have the opportunity to leverage modern computing clusters with hundreds of GPU’s and large cluster of DGX nodes.

Requirements for these positions include:

• A Bachelor’s or Master’s degree  (or equivalent) in Electronical Engineering, Computer Science, Biomedical Engineering, Mathematics, Physics or a related discipline. Candidates with degrees in other field but strong quantitative skills and machine learning experiences are also encouraged to apply.
• Strong analytical and computing skills. 
• Familiarity with basic statistical analysis, machine/deep learning and computer vision methods.
• High level of proficiency in programming languages such as Python, Matlab, C/C++, or Java.
• Experience with deep learning frameworks (e.g., Keras, TensorFlow, PyTorch) is desired.Experience with working with real world data is desired.
• Knowledge about cancer biology and microscopic imaging is desired      but optional.
• Excellent verbal and written communication skills. 
• Salary and benefits will be highly competitive, and commensurate to qualification and experience. PhD students will be waived of tuition and will have an annual stipend of $40K. Interested candidates are encouraged to contact songx [at] ohsu (dot) edu.