美国伊利诺伊大学厄巴纳-香槟分校2025年博士后招聘（用于癌症成像的大规模图像信息学）

Postdoctoral Associates in Large‑Scale Image Informatics for Cancer Imaging

University of Illinois Urbana-Champaign

Date Posted: Posted on 23 July 2025

Location: United States (US)

Job Tags:

3d tumor models, artificial intelligence, bioimaging, cancer research, image processing

The Biomedical Optical Imaging Laboratory at the University of Illinois Urbana‑Champaign invites applications for a postdoctoral associate to spearhead research at the interface of quantitative phase imaging (QPI), artificial intelligence, and cancer biology. Our group integrates high-throughput super‑resolution microscopy, highly multiplexed fluorescence imaging, and mesoscale QPI to reveal previously inaccessible cellular and molecular dynamics in tumors. For details on our publications, visit: https://yangliulab.github.io/publications.html. We seek a motivated colleague who shares our vision of translating advanced optical imaging into transformative insights that improve cancer diagnosis and treatment.

Responsibilities

Implement and optimize large‑scale image‑informatics pipelines that link QPI‑derived morphodynamics with molecular signatures to predict therapeutic resistance.

Develop and benchmark machine‑learning and deep‑learning algorithms for cell segmentation, tracking, and phenotype classification across multi‑modal, high‑volume datasets.

Design and perform quantitative analyses that correlate imaging readouts with genomic, epigenomic, and clinical variables in collaboration with biologists, oncologists, and data scientists.

Lead dissemination of findings through high‑impact publications, conference presentations, and open‑source code releases.

Contribute to interdisciplinary grant proposals and mentor graduate and undergraduate trainees working on imaging and computation projects.

Qualifications

Ph.D. (or equivalent) in bioengineering, electrical engineering, biophysics, or a closely related discipline, conferred by the start date.

Demonstrated expertise in image analysis and machine learning, evidenced by first‑author publications in reputable journals or conferences.

Proficiency in scientific programming (Python or MATLAB) and deep‑learning frameworks, with practical experience handling large‑scale imaging datasets.

Solid understanding of optical microscopy principles and an ability to communicate effectively with experimentalists and clinicians.

Excellent written and oral communication skills, a collaborative mindset, and the ability to manage parallel projects to timely completion.

Preferred qualifications

Prior experience with quantitative phase imaging, multiplexed fluorescence imaging, or other label‑free optical modalities.

Background in cancer biology, 3D cell culture, spatial omics, or clinical translational research.

Familiarity with high‑performance computing environments and reproducible data‑science workflows.

Candidates eager to contribute to this exciting intersection of biology and computation can apply for this position, by sending a cover letter outlining their research experience and interests, a CV, and names and contact information for three references to Prof. Yang Liu by email (https://bioengineering.illinois.edu/people/liuy46). Applications will be accepted until the position is filled.

The Postdoctoral Research Associate is a full-time, benefits-eligible position appointed on a 12-month service basis. The initial appointment is for one year with the possibility of extension based on performance and funding. The anticipated start date is as soon as possible but negotiable. Salary is commensurate with experience and qualifications.

The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, and employment eligibility review through E-Verify.

Tagged as: Computer Science, Data Science, Engineering, Life Sciences, Physics

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