System Development Researcher

Project Information: Parkinson's Disease Diagnosis Methods Based on Artificial Intelligence-Assisted Gait Pattern Analysis

This project is a technical cooperation between Professor Chu Daping's team from the the Centre for Photonic Devices and Sensors of the University of Cambridge and the top scientific research team from Nanjing Brain Hospital. It aims to build a set of AI-assisted diagnosis and monitoring system integrating multi-dimensional gait parameters to realize intelligent clinical evaluation. By extracting key kinematic parameters, machine learning and deep learning models are used to accurately classify patients and healthy individuals, and further predict their clinical scoring indicators.

 

Overview：

Focusing on the comprehensive demands of the AI multimodal auxiliary diagnosis and monitoring system, model calculation, optimisation control and visualisation interface, construct software and hardware programs and interfaces, establish an operating system to support the clinical application needs of the project.

 

Job Responsibilities：

1. Establish an equipment control system for multi-dimensional data acquisition instruments, and design and implement high-precision and high-efficiency operation control.

2. Responsible for preprocessing, cleaning and feature engineering of data, construct datasets that meet algorithm requirements, support model training and verification, and perform model calculation for project development.

3. Design and implement visualisation interfaces for model results and data.

4. Cooperate with clinical teams and convert clinical feedback into optimisation schemes for algorithms and interfaces, iteratively improve model performance and visualisation effects, and ensure the system meets clinical practice application standards.

5. Responsible for the writing and updating of algorithm design documents, model training reports, visualisation interface operation manuals, technical interface documents and other materials, accumulate project technical achievements, and support team collaboration and project acceptance.

 

Qualifications ：

1. Educational Background: Doctoral degree in related majors such as Electronic Engineering, Computer Science and Technology, AI, Biomedical Engineering, Data Science, or master's degree plus relevant work experience.

2. Hardware interface capability: Familiar with the design and debugging of different hardware controls and interface circuits, capable of developing corresponding firmware and manufacturing instrument control and measurement diagnostic equipment required for projects.

3. Programming and tool skills: Proficient in the Python programming language, skilled in using algorithm frameworks, proficient in data processing libraries, proficient in visualization tools, and capable of independently developing interactive visualization interfaces.

4. Data Processing Capabilities: Experience in preprocessing and feature engineering of multi-source heterogeneous data (time-series gait data, image data, clinical text data); ability to address issues such as data noise and missing values to ensure data quality.

 

Preferred Qualifications：

1. Experience in circuit design and software and hardware system development and processing of medical data (gait, fMRI, related to neurological diseases).

2. Participation in medical AI auxiliary diagnosis systems, gait analysis systems, radiomics analysis projects, with experience in algorithm implementation and visualisation interface development.

3. Understanding of clinical diagnosis and treatment processes, able to efficiently coordinate with medical teams and convert clinical needs into technical schemes.

 

Compensation and Benefits ：

1. Provide a competitive salary. The annual salary for full-time positions is 300,000 - 350,000 RMB, with five social insurances and one housing fund. The annual salary can be negotiated in special cases or part-time work can be considered.

2. Meal subsidies, festival benefits, health check-ups and special benefits.

3. Two days off per week, enjoying national statutory holidays and paid annual leave.

4. Fresh doctoral graduates can additionally apply for a 100,000 RMB talent living subsidy and a 2,000 RMB/month rental subsidy. Those who are also postdoctoral researchers at the centre can apply for an additional 50,000 RMB/year in-station living subsidy and project subsidies after being selected for postdoctoral project applications.

5. Those who meet the talent recognition criteria in various categories of the "Nanjing Talent Housing Security Measures Applicable Objects (Catalogue)" can enjoy corresponding policies such as talent housing subsidies, high-end talent services, tuition subsidies for children of high-end talents, and employment services for spouses of high-end talents.

 

 Application：

1. Interested candidates should send their CV (with a one-inch photo) to cunjchr@cunjc.org.cn .

2. Applications will be reviewed promptly; shortlisted candidates will be contacted via phone or email for an interview.

3. For inquiries, please call 025-56676020-8006 (Contact: Ms. Zheng) for more details.