Please send applications (curriculum vita and contact information of three references) or questions to any of the openings to kilian dot pohl at stanford dot edu.
Postdoctoral Fellow and Research Scientist
Description: Several Postdoctoral Fellow and Research Scientist positions in advancing brain MRI analysis, including developing deep learning predictors and embedding their findings within a neuroscientific context, are available immediately at the Computational Neuroscience Lab (http://cnslab.stanford.edu), Stanford University. The successful candidate will contribute to research and development in the coherent and robust multi-modal analysis of longitudinal brain MR images collected across multiple sites. The research projects are funded by the NIH, such as the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA; 5K MRI sessions). The researcher will work in a multidisciplinary research environment closely collaborating and publishing with imaging, computer, and neuroscientists at Stanford University and SRI International.
Qualifications: We are seeking highly motivated individuals who have demonstrated academic excellence, including publications in first-class journals and conferences. Successful candidates should have a PhD (or equivalent) in Computer Science, Neuroscience, or related field. The applicant can either be an expert in machine learning, deep learning, and statistical methods for medical image analysis, or an individual with a strong background in computational or system neuroscience. Expertise in DTI or fMRI is a plus.
Description: We are seeking a research engineer who will contribute to the development and maintenance of a data management system supporting large scale data of multi-center neuroscience studies. The person will interface with imaging and computer scientists to scale up a software platform (sibis.sri.com) from supporting a single study to several projects contemporaneously. This will require creating robust frontend and backend monitoring systems, designing and performing stress tests, configuring databases and Docker/Singularity containers, and developing pipelines and online interfaces for data collection, analysis, curation, and distribution. This position provides the opportunity for the applicant to participate in state-of-the-art software system development within a multi-disciplinary team, whose goal is to advance computational science aimed at identifying biomedical phenotypes for the detection, mechanistic understanding, and treatment of neuropsychiatric disorders.
- Bachelor or Master’s in computer science or related field.
- familiarity with shell scripting (like bash)
- excellent coding skills in Python (experience with pandas preferred)
- at least 2 years of experience in software development on Linux platforms
- hands-on experience with Docker containers, REST APIs (direct or via wrappers, e.g., via pyxnat and PyCap), and developing scalable backends and monitoring of database-driven web services are preferred
Description: We are seeking a data analyst who will be responsible for day-to-day management of information workflow and data quality control. Initially, the analysist would support the current systems while exploring ways to ensure future scalability, stability, and integrity of data storage using enhanced informatics tools and secure web-based technologies. The analyst will need to work within the central computational infrastructure of the lab, which includes a common development environment deployed on Linux servers, using web based issue trackers, documenting procedures and scripts on lab internal wiki pages, creating and deploying unit tests, and submitting scripts to central, version controlled repositories. The ability to handle multiple projects and superior communication skills are central to this role, which include timely and clear responses to inquiries by lab members and collaborators. The data analyst will also have the opportunity to apply mathematical techniques to model longitudinal changes in clinical, neuropsychological, and neuroimaging measures; integrate data across modalities; and perform statistical analysis.
- Bachelor or Master’s in computer science, cognitive science, or related field.
- familiarity with shell scripting (like bash) and Python
- at least 2 years of experience with Linux platforms
- hands-on experience in MySQL and PostgreSQL database management
Description: Stanford students interested in research at the intersection of artificial intelligence, medical image analysis, and computational neuroscience to collaborate with our group in multiple exciting projects. The research can be performed as an independent study at the CNSLab (part of the School of Medicine). The projects include but are not limited to:
- Building deep learning models for understanding mechanisms of the brain using MRIs
- Developing novel machine learning models for extracting imaging biomarkers for different diseases and diagnosis
- Longitudinal studies of structural, functional, and diffusion MRI data
Qualifications: We are seeking a fast learner that is reliable and able to work effectively both in a team and individually. The student should be excited about problems in neuroscience and medical applications. Essential requirements are
- 15-20 hours per week in exchange for Independent Study credits (e.g. PSYC 199 or PSYC 399)
- background in neuroscience, computer science, or related field. Students with a background in computer science should have
- experience and/or coursework in machine learning and deep learning (cs231a, cs229, cs231n, etc.)
- experience with machine learning frameworks (e.g. PyTorch, Tensorflow, etc.)
- strong programming skils