Professor

Wednesday 26th March 2025

Contact Email for the Job Positing zhuyingying2@gmail.com
Organization Chinese Academy of Sciences
Location guangzhou, china
Title Professor
URL https://scholar.google.com/citations?hl=en&user=PMjtni8AAAAJ&view_op=list_works&sortby=pubdate
Closing date Feb 25, 2026
Description Artificial Intelligence is Empowering Biology—Helping You Conquer CNS!
This is the perfect opportunity for engineering elites to rise and reach academic excellence. Don’t miss this golden chance to step in, seize the high ground, and unlock the future! Deepseek is leading the explosive growth of AI applications in vertical domains, and the field of Bio-AI is waiting for you to pioneer it! Easily transcend traditional academic boundaries and compete alongside NeurIPS, CVPR, and ICLR. Success comes from seizing the right opportunities! While hard work is essential, having the foresight to catch the right wave will shape an extraordinary future!
Special Notice
For outstanding interns, I can recommend internship opportunities at globally renowned companies such as NVIDIA, Google, and OpenAI (covering global departments). I can also assist in applying for top-tier master's and PhD research programs worldwide.
We welcome ambitious individuals to join us in shaping a brilliant future in both academia and industry!
About Dr. Yingying Zhu
Dr. Yingying Zhu, Principal Investigator (PI), will join the Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences, in 2025 to establish a Biomedical AI & Big Data Research Group. She obtained her PhD in Computer Science and Technology from the University of Queensland, Australia. Her research interests include computer vision, medical imaging, artificial intelligence, and bioinformatics.
She has conducted postdoctoral research at the University of North Carolina at Chapel Hill and Cornell University. She has also worked as a Senior Project Scientist at the U.S. National Institutes of Health (NIH) and as an Assistant Professor at the University of Texas. Dr. Zhu has published over 30 papers as (co-)first or corresponding author in top-tier medical AI conferences and journals such as CVPR, ECCV, MICCAI, KDD, NeurIPS, EMNLP, IEEE Transactions on Medical Imaging, IEEE Transactions on Pattern Analysis and Machine Intelligence, and Medical Image Analysis.
Google Scholar Profile
https://scholar.google.com/citations?hl=en&user=PMjtni8AAAAJ&view_op=list_works&sortby=pubdate
Research Group Focus
Our lab focuses on AI applications in clinical medicine and biomedical research. Key research directions include:
Multimodal Large Language Models (LLMs) based on medical and biological imaging and text data.
Genomics and Cell Biology Integration using multimodal foundational models (Cryo-EM, super-resolution microscopy).
Distillation and Application of Large Models for pathology imaging, bioinformatics, and multi-omics data.
Virtual Digital Cell Simulation & Evolution and related biological applications.
To achieve these goals, we will employ interdisciplinary methods, including:
Computer vision, 3D image computing, and foundational models for image computation
Foundational language models for medical and biological sciences
Large model acceleration techniques (distillation, pruning)
Reinforcement learning and causal learning
Open Positions
Postdoctoral Fellows (Multiple Positions, Open Until Filled)
Responsibilities
Independently or collaboratively conduct research projects and related tasks.
Develop research plans, write papers, and apply for grants and projects.
Assist in supervising graduate students and manage lab affairs.
Qualifications
Background in bioinformatics, deep learning, or computer science; proficiency in at least one programming language (Python, Perl, C++, Java, etc.); first-author publications in relevant fields.
Passion for research, strong initiative, responsibility, teamwork, and good communication skills (English reading & writing required).
Seeking highly motivated individuals who want to transition into AI for Science and publish in CNS (Cell, Nature, Science)! Our lab has unique biomedical data collection platforms, computing resources (GPUs), and experienced AI mentors to guide your transformation!
Outstanding interns will be recommended for internships at NVIDIA, Google, Meta, OpenAI, and other major AI labs.
Support for top international PhD & master's applications.
PhD holders or soon-to-be PhD graduates under 35 (mental age counts—young minds are always welcome!).
Compensation & Benefits
Competitive salary: Postdoctoral fellows start at ¥300,000+ per year (negotiable).
Career advancement: Outstanding postdocs will be considered for the Special Research Assistant position at CAS, with salaries equivalent to associate professors. Promotion to associate or full researcher positions is possible.
Talent programs: Support for applications to national, provincial, and municipal talent programs with attractive funding and benefits.
Comprehensive welfare: Social insurance, housing benefits, paid annual leave, child education support, and more.
Household registration support: Master’s and PhD graduates can secure household registration in Guangzhou.
Internships & Graduate Student Positions
We welcome undergraduate, master's, and PhD students with backgrounds in bioinformatics, biomedical engineering, electronic information, or computer science.
Requirements:
Proficiency in at least one programming language (Python, Perl, C++, Java, etc.).
Passion for research, strong initiative, teamwork, and communication skills.
Preference for students near Guangzhou University Town.
Interns will receive:
Stipends, support for domestic/international PhD applications, and scientific training.
Priority consideration for CAS graduate programs.
Application Instructions
Please send the following documents:
Resume (CV)
Academic certificates
Supporting materials (e.g., publications, awards, etc.)
Email to: