巴勒斯坦 DiaLink：数字健康实验室与低带宽移动健康工具的研发工作

该项目旨在通过建立数字健康实验室及共同研发低带宽移动健康工具，改善受冲突影响的巴勒斯坦地区2型糖尿病患者的护理水平。项目整合了人机交互、数字健康与机器学习技术，以开发并评估能够提升患者与医疗服务提供者公平糖尿病管理的互动系统。

Project: DiaLink Palestine addresses disrupted continuity of Type 2 Diabetes care in conflict-affected Palestinian settings. Anchored at PPU's College of Medicine and Health Sciences, the project will establish a Digital Health Living Lab and co-create an inclusive, low-bandwidth mHealth tool, an explainable clinical decision support system, and blended patient/clinician/community health-worker pathways. The work combines human-computer interaction, digital health, implementation research, clinical data and equity-centred evaluation.

Profile: The successful candidate will help connect the Digital Health Living Lab, pilot sites and the joint PPU–KU Leuven research programme. The PhD has a clear engineering focus: developing and evaluating human-centred interactive systems for conflict-resilient diabetes care. The exact doctoral proposal will be refined with the supervisors and doctoral school within the approved DiaLink outcomes. Study how conflict, connectivity constraints, health literacy, gender, disability, geography and care workflows shape equitable digital diabetes care. Design, implement and evaluate human-centred, offline-first interactive systems that integrate optimization algorithms, machine learning, explainable AI and interactive visual interfaces, enabling patients and healthcare professionals to understand, steer and collaborate with AI-supported decision tools. Support baseline, implementation and mixed-methods evaluation; manage reproducible, secure research workflows. Assess usability, trust, adoption, continuity-of-care and equity outcomes, including subgroup differences and unintended burdens. Contribute to ethics, privacy-by-design, data governance, algorithm safety, open/reusable project outputs, publications and uptake materials. Contribute to PPU capacity strengthening, teaching, supervision, stakeholder learning and the National Diabetes Digital Toolkit. Eligibility: A master's degree, completed by the appointment/admission deadline, in engineering, engineering technology, computer science, computer engineering, artificial intelligence, data science, human-computer interaction, biomedical engineering, information systems or a closely related technical discipline that clearly demonstrates engineering capability. Academic results that satisfy KU Leuven's doctoral admission requirements: normally a relevant master's degree obtained with at least distinction, or an internationally equivalent result, unless the candidate has otherwise distinguished themselves through high-quality scientific publications or design-oriented achievements. Demonstrated strong Python programming and practical experience with Git/version control, databases, mobile prototyping and relevant AI/XAI libraries (for example, scikit-learn, PyTorch or TensorFlow, and SHAP or LIME, or equivalents), supported by a thesis, code repository, software prototype or comparable technical work. Strong research potential and ability to work across clinical, technical and community settings. Strong spoken and written English. Arabic proficiency is required for direct field engagement or must be covered through an approved fieldwork arrangement. Ability and willingness to undertake the planned Belgium research periods, while recognising that travel remains subject to visa and security feasibility. We particularly value Experience in applied AI/HCI or distributed systems and architectures, including one or more of the following: optimisation, machine learning/XAI, interactive visualisation, offline-first or mobile systems, secure data synchronisation and software engineering. Experience with user-centred or participatory design, usability/accessibility, mixed-methods research, digital health, or work with patients, clinicians, community organisations or health services. Evidence of careful research practice: ethics, privacy, secure data handling, reproducibility and clear communication. Commitment to Leave No One Behind, gender/equity analysis, accessibility and culturally safe engagement. Selection process Selection will be conducted by a joint committee including the PPU promoter or relevant academic representative and the KU Leuven promoters. Conflicts of interest will be declared and documented. Shortlisted candidates may be asked to complete a standardised technical task and discuss their individual contribution to previous programming, software, optimisation, AI or interactive-systems work. Application package Curriculum vitae, including education, research/employment experience, programming languages, technical tools, methods and publications or outputs, if any. Motivation letter (maximum two pages) explaining your fit with the focused DiaLink PhD topic and your commitment to equitable diabetes care. A short concept note (maximum two pages) on the stated PhD research question, outlining a feasible technical approach to modelling and clinician-facing explanation design, an evaluation plan and the main ethical/equity risk. Master's degree certificate and transcript; include a brief explanation where the grading system needs context. Master's thesis or one representative research/technical output, or a concise summary and link where the complete output cannot be submitted. Evidence of programming and engineering capability, preferably a link to a code repository, software prototype or technical portfolio. If code cannot be shared, provide a maximum one-page description of the system, methods, tools and your individual contribution. Names and contact details of two referees. References will normally be requested only for finalists.

承诺： 获批的资助涵盖为期 48 个月的阶段性安排：在比利时进行 18 个月的研究工作，每月费用为 1,900 欧元；在巴勒斯坦进行 30 个月的研究工作，每月费用为 200 欧元。此外还包含经批准的旅行费用及指导/研究相关费用。比利时的部分工作计划为三次为期六个月的驻留时间。具体安排还需考虑录取、注册、签证及安全可行性情况，以及适用的 VLIR-UOS 和机构规则；若流动性无法实现，可采用经批准的远程或混合式安排。 "[会员链接]"

有意者？ 您最迟于2026年10月30日通过在线申请工具申请此职位。 比利时荷语鲁汶大学致力于营造包容、尊重且安全的社会环境。我们将个人与群体的多样性视为一种优势。开放的对话与不同的视角对于富有雄心的研究与教育环境至关重要。在追求平等机会的承诺下，我们认识到历史不平等所带来的后果。我们不接受任何基于性别认同与表达、性取向、年龄、种族或民族背景、肤色、宗教与哲学差异、神经多样性、就业障碍、健康或社会经济状况等维度的歧视。 关于可访问性或支持服务的相关问题，我们愿通过此电子邮件地址为您提供帮助。 求职申请流程： 工作条件 职业机会 申请该职位