针对提格雷地区受战争影响的青少年提供的以线下活动为主、注重创伤关怀的数字心理健康服务

该项目专注于为受提格雷战争影响的青少年共同设计并试点一套具备线下服务能力的、以创伤关怀为核心理念的数字心理健康工具包。该方案融合了人机交互、实施科学及隐私工程技术。申请者应拥有相关的硕士学位，并具备软件开发或负责任人工智能方面的经验。

Project: TRUST is a five-year VLIR-UOS TEAM project led by KU Leuven and Mekelle University in partnership with Aksum University and the regional education, health-regulatory, policy and statistics actors. The project will co-design and rigorously pilot a trauma-informed, Tigrigna, offline-capable digital mental-health support toolkit for war-affected youth aged 15–25 in Tigray. The work combines human-computer interaction, participatory design, implementation science, privacy/security engineering and clinical safeguarding. It is support-oriented and does not replace professional care. The selected candidate will: develop a rigorous doctoral plan aligned with TRUST’s Theory of Change and five WPs; support formative research and six participatory-design workshops using approved trauma-informed methods; translate co-design evidence into requirements for a Tigrigna, offline-first/shared-device toolkit; contribute hands-on research and technical work in prototyping, data flow, security/privacy and responsible AI; define prohibited AI uses, human oversight, evaluation thresholds, failure/rollback criteria and safety evidence; contribute to usability/field testing and the four-site mixed-methods pilot of about 100 youth after approvals; analyse quantitative and qualitative evidence with reproducible methods; work across KU Leuven, MU, AKU, MU-ICT, MU-CHS and stakeholder partners; publish peer-reviewed work and contribute reusable non-sensitive methods/code/templates; mentor MSc students and support the Digital Mental Health curriculum; and maintain auditable records for research integrity, safeguarding, data governance and project reporting.

Profile: Applicants must: preferably be a full-time employee of Mekelle University or Aksum University ; hold a relevant master’s degree completed before appointment, for example in computer science, information technology, software engineering, HCI, digital health, biomedical engineering or a closely related discipline; meet, or be able to meet, KU Leuven Faculty of Engineering Technology doctoral/predoctoral admission requirements; demonstrate professional English for doctoral research; final sufficiency is determined through KU Leuven’s authorised process; be able to work ethically with sensitive mental-health research and vulnerable youth under strict safeguarding rules; accept the sandwich structure and the fact that admission, scholarship, visa and travel are separate conditional decisions; and Essential selection criteria strong academic readiness and capacity for doctoral-level research; demonstrated individual technical contribution to software, HCI, data, mobile/offline systems, security or responsible AI; sound quantitative, qualitative or mixed-methods reasoning; strong understanding of offline/shared-device constraints and data minimisation; evidence of trauma-informed ethics, safeguarding awareness and limits on AI in mental-health contexts; Tigrigna/context competence and ability to collaborate across disciplines/institutions; credible plan for institutional capacity retention; and clear written and oral communication in English. Desirable criteria Android, local-first/offline-first, mesh or synchronisation experience; privacy/security engineering, threat modelling or penetration-test literacy; participatory/co-design experience; research with youth, health, education or post-conflict communities; implementation science, psychometrics or mixed-methods evaluation; reproducible code/data workflows, teaching or mentoring; and publications or other strong research/technical outputs, with the applicant’s contribution clearly stated. Required application documents Submit one complete PDF package plus any separately requested official records through the official channel: motivation letter, maximum two pages; academic CV, maximum four pages; doctoral concept note, maximum 1,500 words; master’s diploma and transcripts; master’s thesis abstract plus one relevant output; technical/research portfolio describing the applicant’s personal contribution to up to three items; contact details for two referees; English Proficiency evidence; Concept-note proposed contents two to four doctoral research questions; how participatory design, technical development and field evaluation connect; a minimum offline/shared-device architecture and data flow; the role and limits of AI, including one capability that should not use an LLM; safeguarding, consent/assent, referral and data minimisation; a feasible first-year plan and major risks; and the lasting capacity the work will leave at MU/AKU. Proposed Selection Process administrative eligibility screen; independent evidence-based file scoring by the joint panel; shortlist and bounded common assessment; structured presentation/interview; references and verification; ranked panel report; and JSC process/result validation. KU Leuven academic admission/predoc approval remains separate from project selection.

录取通知： 这是一项 VLIRUOS研究奖学金项目。获批预算预计包括： AY1-S2：在比利时进行六个月的时间用于预研究/研究准备； AY2：在埃塞俄比亚获得12个月的本地研究支持； AY3：在比利时进行12个月的研究； AY4：在埃塞俄比亚获得12个月的本地研究支持；以及 AY5：在比利时进行六个月的时间用于论文撰写与公开演讲准备。 具体的开始日期和流动日期取决于选拔结果、比利时荷语鲁汶大学录取/预修条件、奖学金审核流程、DGD签证途径以及旅行与安全可行性。 "[会员链接]"

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