Job Opening

Junior Specialist

Position Description: A successful candidate will have experience in using existing data in the lab, apply cutting edge computational approaches to the analysis of the data; Work with the PI to become familiar with the existing data structures and computational approaches; Design hypothesis driven research questions to analyze the data that provide new understanding of the systems under study; Identify creative way to address any need for revision of experimental protocols. The position is expected to collect, organize, and present data, engage in lab meetings and discussions on research, and assist in the interpretation and publication of those data. The candidate will be mentored regarding career paths in academia or industry, have opportunities to assist the PI in the development and presentation of course material, and be supported to present data at conferences and contribute to the publication of peer reviewed manuscripts.

Preference will be given to candidates with imaging and cell and tissue culture experience. Ability to follow health, chemical, and safety guidelines and instructions. Ability to prioritize and schedule work to meet deadlines and to flexibility to accommodate changes in projects as the need arises.

Position Requirements: The position requires a Bachelor’s Degree in biomedical engineering, engineering, neurobiology or related field or equivalent research experience. 

Application: Interested candidates should submit all materials via the web-based online submission system (https://recruit.ucdavis.edu/apply/JPF02125). Required materials include a curriculum vitae, cover letter, and names and contact information for 3-5 references.  Inquiries can be directed to the chair of the search committee at apanitch@ucdavis.edu.

The deadline for full consideration is October 1, 2018; however, applications will be accepted until the position is filled.

The UC Davis College of Engineering is committed to building a diverse faculty, staff, and student body as it responds to the changing population and educational needs of California and the nation. The University of California is an affirmative action/equal opportunity employer. http://bme.ucdavis.edu

Postdoctoral Position In Optical Technology for Biomedical Applications

Description: A postdoctoral research position is open for applicants with experimental research experience in optical technologies using lasers, spectroscopic instruments, optical coherence tomography (OCT), optical fibers, solid state detectors, laser-scanning optical microscopes, endoscopy, and micro-optics. Candidates will be considered for a broad range of projects including integration of optical technologies with da Vinci surgical robot for intra-operative delineation of surgical margins, development of intravascular catheter systems, and development of optical methods for non-destructive evaluation of engineered tissues. The successful candidates will work on National Institutes of Health (NIH) and California Institute of Regenerative Medicine (CIRM) funded multidisciplinary projects focused on research, development and clinical translation of fluorescence lifetime techniques for in-vivo diagnosis of human diseases. This is an opportunity to work in the Biophotonics Laboratory (https://bme.ucdavis.edu/marculab/) at the University of California Davis (Department of Biomedical Engineering) and in collaboration with clinical departments within the UC Davis School of Medicine and industry partners. The initial appointment is for two years with potential for extension depending upon performance.

Qualifications: Candidates must have a Ph.D. in Physics, Applied Physics, Electrical Engineering, Biomedical Engineering, or other closely related areas. In addition, they must have experience in optical instrumentation, programming (C/C++, MATLAB) and software control of instrumentation. Experience with short pulse lasers, time-resolved fluorescence spectroscopy, Optical Coherence Tomography (OCT), fast electronics optical imaging, LabView programming, catheter-based optical systems, fluorescence lifetime imaging microscopy, microfabrication, and pre-clinical and clinical translation of optical technologies is a plus. The candidate must have demonstrated the ability to build and maintain optical instrumentation, perform experimental work and theoretical analysis, publish papers, and to work independently and in an interdisciplinary team. Interested applicants should submit via e-mail a complete curriculum vitae, the contact information for three references, and a copy of one or two publication from previous research to:

Professor Laura Marcu
Department of Biomedical Engineering
University of California, Davis
E-mail: lmarcu@ucdavis.edu

Postdoctoral Position in signal and image processing, visualization, and deep learning methods

Description: A postdoctoral research position is open for applicants with strong expertise and experience in image, signal processing and deep learning. The candidate responsibilities include implementation of software (data analysis, display, visualization, and deep learning) and hardware (data/image acquisition) supporting a broad range of projects including image-guided surgery and other interventions (e.g. integration of optical technologies with da Vinci surgical robot for intra-operative real-time delineation of surgical margins, intravascular multimodal imaging systems, nondestructive methods for evaluation of engineered tissues constructs or grafts) and augmented reality. The successful candidates will work on National Institutes of Health (NIH) and California Institute of Regenerative Medicine (CIRM) funded multidisciplinary projects focused on research, development and clinical translation of optical techniques and high frequency ultrasound technologies for in-vivo diagnosis and therapy of human diseases. This is an opportunity to work in the Biophotonics Laboratory (https://bme.ucdavis.edu/marculab/) at the University of California Davis (Department of Biomedical Engineering) and in collaboration with clinical departments within the UC Davis School of Medicine and industry partners. The initial appointment is for two years with potential for extension depending upon performance.

Qualifications: Candidates must have a Ph.D. degree and strong background in classical signal and image processing, data visualization, statistical methods, statistical learning, and classification models. Excellent proficiency in coding using MATLAB and C++ is needed. Interested applicants should submit via e-mail a complete curriculum vitae, the contact information for three references, and a copy of one or two publication from previous research to:

Professor Laura Marcu
Department of Biomedical Engineering
University of California, Davis
E-mail: lmarcu@ucdavis.edu

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