Postdoctoral Researcher in Bioelectronics for Tissue Regeneration (BETR)
University of California Santa Cruz
Location: Santa Cruz, California
Internal Number: 4079468
Postdoctoral Researcher in Bioelectronics for Tissue Regeneration (BETR)
Position overview Position title: Postdoctoral Researcher in Bioelectronics for Tissue Regeneration (BETR) Salary range: Commensurate with qualifications and experience. The posted UCSC salary scales set the minimum pay based on the individuals Experience Level, which is determined by the number of months of postdoctoral service at any institution. See the salary scale titled, Postdoctoral Scholar-Employee /Postdoctoral Scholar-Fellow / Postdoctoral Scholar-Paid Direct -Fiscal Year. A reasonable estimate for this position is $70,000.
Percent time: Full-time (100%)
Anticipated start: As soon as possible after initial review of the applications. Ph.D. must be in hand at time of the initial appointment.
Position duration:Maximum Duration of Service in a Postdoctoral Title: Postdoctoral Scholar appointments are full-time and the initial appointment is for a minimum of two years, with the possibility of reappointment. The total duration of an individuals postdoctoral service may not exceed five years, including postdoctoral service at any institution.
Open April 6, 2023 through Friday, Jun 30, 2023 at 11:59pm (Pacific Time)
The Department of Applied Mathematics at the University of California, Santa Cruz (UCSC) invites applications for a postdoctoral research position. Under the direction of Marcella M. Gomez, the postdoctoral researcher will join an ongoing research effort on Bioelectronics for Tissue Regeneration (BETR) funded by Defense Advanced Research Project Agency (DARPA). This is a highly dynamic and collaborative project aimed at accelerating wound closure. This project integrates the fields of biology, bioelectronics, electrical engineering, computer science, and applied mathematics. This is a two-year appointment subject to renewal based on performance evaluation and funding availability.
Job duties: Develop and refine feedback control algorithms informed only by sparse data and qualitative models to be integrated into hardware and implemented in vivo as part of our groups ongoing research on intelligent band aid. The work is highly collaborative and requires in person presence, ongoing conversations, regular meetings, and monthly reporting.
Applicants with the following experience are strongly encouraged to apply:
Background in control and dynamical systems.
Experience in data analysis and data-driven modeling.
Strong communication skills.
Flexible and adaptable to changing needs.
Interest and passion for working with graduate students.
Experience in machine learning (Deep Reinforcement Learning, in particular).
Ability to work in large teams with team members from a broad range of disciplines.
APPLICATION REQUIREMENTS All documents and materials must be submitted as PDFs and should be forwarded to Marcella Gomez at firstname.lastname@example.org. Please refer to position JPF01481 in all correspondence.
Required Documents Letter of application that briefly summarizes your qualifications and interest in the position. Additionally, please detail your experience with working on highly collaborative projects and/or working with faculty, researchers, and students from diverse backgrounds and varying levels of research experience. Curriculum vitae. List of professional references , which should include a minimum of three references, but no more than five. The committee will contact the references of those candidates who are under serious consideration.
RECRUITMENT PERIOD Full consideration will be given to applications submitted to Marcella Gomez by 5/15/23. Applications received after this date will be considered only if the position has not been filled.
Basic qualifications (required at time of application) Ph.D. (or equivalent foreign degree) in biotechnology, biology/biomedical sciences-other, mechanical engineering, applied mathematics, computational biology or a related field.
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. UC Santa Cruz is committed to excellence through diversity and strives to establish a climate that welcomes, celebrates, and promotes respect for the contributions of all students and employees. Inquiries regarding the Universitys equal employment opportunity policies may be directed to the Office for Diversity, Equity, and Inclusion at the University of California, Santa Cruz, CA 95064 or by phone at (831) 459-2686.
Under Federal law, the University of California may employ only individuals who are legally able to work in the United States as established by providing documents as specified in the Immigration Reform and Control Act of 1986. Certain UCSC positions funded by federal contracts or sub-contracts require the selected candidate to pass an E-Verify check (see https://www.uscis.gov/e-verify). The university sponsors employment-based visas for nonresidents who are offered academic appointments at UC Santa Cruz (see https://apo.ucsc.edu/policy/capm/102.530.html).
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As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs - With Updated Interim Amendments. All Covered Individuals under the policy must provide proof of receiving the COVID-19 Vaccine Primary Series or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, Religious Objection, and/or Deferral based on pregnancy or recent COVID-19 diagnosis and/or treatment) no later than the applicable deadline. All Covered Individuals must also provide proof of receiving the most recent CDC-recommended COVID-19 booster or properly decline such booster no later than the applicable deadline. New University of California employees should refer to Exhibit 2, Section II.C. of the SARS-CoV-2 (COVID-19) Vaccination Program Attachment for applicable deadlines. All Covered Individuals must also provide proof of being Up-To-Date on seasonal influenza vaccination or properly decline such vaccination no later than the applicable deadline. Please refer to the Seasonal Influenza Vaccination Program Attachment. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements. Additional information and resources for compliance are located on the campus Health Center site