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Ph.D. Candidate in Digital Health Innovations

vor 3 Monaten


Potsdam, Brandenburg, Deutschland Hasso Plattner Institut Vollzeit

Ph.D. Candidate in Digital Health: Machine Learning Applications in Healthcare

We are seeking a dedicated Master's graduate in computer science to take on a project-funded role focused on the development and implementation of machine learning techniques in healthcare settings.

Project Overview

The project, titled CASSANDRA – Clinical Assist and Alert Algorithms in Visceral Surgery, addresses the critical need for enhanced patient monitoring following surgical procedures. In Germany, millions of surgical operations are conducted annually, with a significant number linked to major abdominal organ systems. These intricate surgeries often lead to high rates of postoperative complications, necessitating improved monitoring strategies.

The aim of the CASSANDRA project is to develop and assess machine learning algorithms that can effectively detect and predict postoperative complications, including intra-abdominal infections. The project will integrate static preoperative risk factors with dynamic real-time data collected from patients, thereby facilitating timely interventions.

Key Responsibilities

  • Assist in establishing a wireless network on hospital wards to enable real-time collection of patient vital signs from wearable devices.
  • Create methodologies for processing raw signal data, including the development of automated signal quality checks and data cleaning protocols.
  • Design and evaluate various machine learning models that merge static risk factors with dynamic vital parameters, focusing on clinical outcomes such as the incidence of surgical complications.

Required Qualifications

  • Master's degree in computer science or data science.
  • Proficiency in data mining, computational statistics, and machine learning methodologies.
  • Strong programming skills in high-level languages.
  • Ability to work independently, demonstrate creativity, and collaborate effectively within a team.
  • Excellent command of the English language.

About the Hasso Plattner Institute

The Hasso Plattner Institute (HPI) for Digital Engineering is a renowned institution dedicated to education and research, established as a public-private partnership. HPI focuses on the design and analysis of large-scale IT systems and has expanded its research into digital health.

The Digital Health – Connected Healthcare research group at HPI is committed to the collection and analysis of health-related data in both everyday and clinical contexts. This interdisciplinary team, led by esteemed professionals, works on comprehensive projects that encompass data collection, preparation, analysis, and the application of machine learning models to present actionable insights to healthcare practitioners.

About the Project Partner

The Surgical Clinic at the Charité - Universitätsmedizin Berlin is one of Europe's largest surgical departments, handling thousands of cases each year. This collaboration aims to leverage systematic data collection and digital storage to enhance patient outcomes through innovative machine learning applications.