Mission

Our mission is to develop interpretable machine learning algorithms applied to medical data. Your primary focus will be to develop and evaluate interpretable statistical and machine learning algorithms. The main goal is to develop methods for discovering non-linear associations between risk factors and metabolic diseases. The results will aim at helping medical doctors design and implement efficient interventions. You will evaluate your methods by: (a) the performance, computational efficiency, and interpretability of the results; (b) the methods’ robustness to model misspecification; and (c) interacting with experts in relevant medical fields.

The position

The successful applicant should hold, or about to obtain a relevant Ph.D. degree in computer science, statistics, mathematics, or disciplines related to AI or machine learning and should have solid background in programming and statistical theory, with experience in developing machine learning algorithms. An initial contract will be given for 3 years with the possibility to extend it. Fluency in both English and Chinese (Mandarin) is required.

Work location

The project will be mainly based at the CDS, but will also include work with medical doctors from the Children’s Hospital. Zhejiang University is a public research university, member of the elite C9 League and one of China's oldest, most selective and prestigious institutions of higher education. Zhejiang University is located in Hangzhou, which is the capital and most populous city of Zhejiang province, People's Republic of China. Hangzhou has been one of China's most renowned and prosperous cities for much of the last millennium. Its West Lake, a UNESCO World Heritage site immediately west of the city, is among its best-known attractions.

The Children’s Hospital is the largest tertiary hospital and the most comprehensive center of pediatric healthcare in Zhejiang Province. In 2019, the Hospital Management Institute at Fudan University, China ranked the Children’s Hospital third at national-level. The CDS is a university-level, cross-disciplinary platform that include statistics, applied mathematics, computer science and management. The CDS focuses on the academic research on complex data, including statistical theory and applications, machine learning, and algorithm design.

How to apply

Please send your application in English (CV (max. 2 pages), motivation letter (max. 1 page), transcripts, and publication records) as a single PDF to apython@zju.edu.cn. More info (PI): APython ZJU