可解释人工智能（xAI）在胶囊内镜领域的博士候选人

“CAPTURE”项目通过计算机视觉与人工智能技术的创新应用，提升了无线胶囊内镜技术。该博士候选人将开发可解释的人工智能方法，以优化诊断系统，使其对临床医生更具操作性；同时，他将参与一个专注于炎症性肠病及其他胃肠道疾病的国际合作培训网络。

关于该职位： 挪威科技大学是一所具有技术科学特色的大学，专注于专业教育领域。该大学位于三个城市，其总部设在特隆赫姆。此职位将设在挪威的吉奥维克。 在挪威科技大学，9,000名员工与43,000名学生共同努力，为构建更美好的世界创造知识。您可以在此处获取更多关于在挪威科技大学工作及申请流程的信息。 视频：[会员链接] 您是否有兴趣在国际研究环境中攻读博士学位？该职位为您提供加入玛丽·居里行动博士网络（MSCA）CAPTURE的机会，能够与欧洲各地的学术、医疗及工业合作伙伴合作，并在无线内窥镜领域的多学科研究项目中提升专业素养。 作为 CAPTURE 网络的一部分，该博士候选人将参与研讨会、会议、可转移技能培训以及与合作机构的研究合作项目。这一职位为在国际环境中进行学术与专业发展提供了机会。 入选者将获得为期36个月的全职固定任期博士候选人职位，并将参加旨在授予博士学位的博士项目。预计开始日期为2027年8月1日。 您的直接领导将是Colourlab部门负责人。 项目简介： “CAPTURE”项目是一个由欧盟资助的玛丽·居里行动（MSCA）博士网络项目，旨在通过计算机视觉与人工智能技术的发展来推动无线胶囊内镜技术（WCE）的发展。该项目旨在通过开发能够减轻临床医生工作负担、提升成像质量并支持更精准及时诊断的方法，从而改善基于图像的诊断、监测和治疗工作。 “CAPTURE”项目将研究与严格的博士培养相结合，旨在培养新一代研究人员，使其能够在技术与医学的交汇处开展工作。该合作项目汇集了学术界、工业界及医院的专业资源，确保研究在科学严谨性与临床相关性方面均得到保障。该项目专注于炎症性肠病（IBD）的研究，反映了该疾病在欧洲中的日益普遍。由于所开发的多项方法具有更广泛的适用性，该项目还将考虑其他胃肠道疾病的研究。 这些目标将通过在国际性与跨领域环境中招聘并培养15名博士候选人来实现，从而在WCE的技术、临床及应用层面提供跨学科的专业知识。 职位职责： 基于 WCE 的病理检测自动化方法通常依赖于最新的人工智能模型。这些模型往往会产生黑盒式决策结果。为了让临床医生能够使用这些系统，诊断依据必须得到清晰说明。 该博士候选人将协助开发可解释人工智能（XAI）方法，用于自动化诊断决策系统，从而提升医生对预测结果的可解释性与可操作性。此外，该候选人还将与医学专家对生成的解释进行评估，以判断其在临床环境中的相关性、实用性及重要性。 主要职责 完成博士教育直至获得博士学位 在上述框架内开展高质量研究 学术论文发表与科普传播 参与Colourlab研究小组 参与 CAPTURE 合作机构之间的网络联合研究与培训活动，包括线上与线下形式，并依据行动说明及项目管理程序，为 CAPTURE 项目的成果贡献自己的力量。 参与国际活动，如会议及/或到国外教育机构进行研究访问。具体而言，预计将向英国罗伯特·戈登大学和德国达姆施塔特工业大学提供为期数月的短期交流机会。 与医院密切合作以评估博士项目中所开发的方法 请做好在就业后工作职责发生变化的准备。

Required selection criteria: You must have experience with computer vision and machine learning. You must have excellent programming skills in Python with exposure to popular deep learning libraries like PyTorch or Tensorflow. At the date of recruitment, you must NOT have been awarded a doctoral degree. Researchers who have successfully defended their doctoral thesis but have not yet formally been awarded the degree are also not eligible. You must meet the requirements for admission to the faculty's Doctoral Programme in computer science , see Section 6-1 of the PhD regulations for more information. You must have a relevant master's degree in computer science, electrical engineering or equivalent. Your degree must include a major independent project (minimum 30 ECTS) equivalent to a master’s thesis. Master students can apply, but the master's degree must be obtained and documented before starting the position. You must have a strong and relevant academic background from your previous studies and have an average grade from your master’s degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker academic background, you may be considered if you can document that you are exceptionally suited for a PhD education, for example through relevant work experience and/or peer-reviewed academic works. Excellent oral and written communication skills in English. You must comply with the MSCA mobility rule: you must not have resided or carried out your main activity (work, studies, etc.) in the country of the recruiting organisation for more than 12 months in the 36 months immediately before recruitment (short stays such as holidays are not taken into account). The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position. Preferred selection criteria: Preference may be given to candidates with: Experience with computer vision, medical image processing, self-supervised learning or learning in low-data regimes. Experience with statistical signal processing and pattern recognition will be counted positive. Experience with pretrained representation models, transfer learning and xAI. Knowledge of robustness analysis in computer vision applications. Knowledge of explainable AI, uncertainty estimation, calibration, out-of-distribution detection, adversarial robustness, or causal analysis. Experience with causal inference, counterfactual explanations, or uncertainty quantification in deep learning Evidence of scientific writing, publications, a strong master's thesis, research software, or relevant open-source contributions. Excellent analytical and communication skills. Ability to work in an international and interdisciplinary environment. Personal characteristics: To complete a doctoral degree (PhD), it is important that you are able to: Show strong motivation for research and a willingness to engage deeply with challenging scientific questions. Work in a structured way, set goals and make plans to achieve them. Present and discuss your research with other professionals. Get involved and contribute constructively with feedback. Work constructively under pressure or in the face of adversity. Show curiosity and a strong motivation for the subject. Analyze data, assess different perspectives and draw well-founded conclusions. Be flexible and open to adjusting the plan for the project as needed. Communicate, present, and collaborate effectively, including explaining technical ideas clearly and presenting research results to interdisciplinary audiences and project partners. Emphasis will be placed on personal qualities. Diversity: Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values ​​are creative, critical, constructive and respectful . We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals. We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education. If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.

We offer: An exciting job with an important mission in society Developing tasks in a strong and international professional environment Career guidance and follow-up during the PhD period Open and inclusive working environment with committed colleagues Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK) Free Norwegian language training at a basic level (A2) As an employee in Norway, the successful candidate will normally be a member of the Norwegian National Insurance Scheme, which provides access to public healthcare and social security benefits in accordance with applicable legislation and regulations. As a PhD Candidate at NTNU, you will have access to employee benefits . Salary and conditions: In the position of PhD Candidate, code 1017, your gross salary will normally be NOK 580 000,- per annum depending on qualifications and seniority. This will cover the MSCA Living Allowance and Mobility Allowance. In addition, a family allowance may be provided in accordance with MSCA regulations. A 2% statutory contribution to the State Pension Fund is deducted from the salary. The employment period is 3 years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Computer Science within three months of your employment contract start date, and that you participate in an organized doctoral programme throughout the period of employment. The position is conditional on external funding. As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them. For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. The successful applicant must devote full working time to the project and the doctoral training programme. The appointment is carried out in accordance with the principles of the State Employees Act , and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to bein conflict with the criteria in the latter act, will not be able to be employed.

关于申请： 附件（包括您的科研工作说明）必须随申请文件提交，因为这些文件是评估申请的基础。这些文件必须使用挪威语/斯堪的纳维亚语言或英语撰写。 请注意：申请将仅根据我们在申请截止日之前收到的材料进行评估。因此，请确保您的申请明确说明您的技能与经验如何符合上述标准。申请及所有附件必须通过 Jobbnorge.no 以电子方式提交。如果您被邀请参加面试，必须根据要求携带经认证的证书和文凭副本。不完整的申请将不会获得优先处理。 申请必须包含： 学士和硕士阶段的成绩单与学位证书 个人简历 CV 硕士论文副本。如果您近期已提交硕士论文，可附上论文初稿。获得完整硕士学位的证明文件必须在入职前提交。 项目大纲包含关于研究问题总体描述、理论视角、项目方法论设计及进展计划的建议（最大字数：1500字/4页）。 简短动机信（400字/1页）。 可能包括相关论文及其他重要研究工作。 可能包含证书。 至少两名相关推荐人的姓名及联系方式。 如果您的所有或部分教育经历均在国外完成，我们还要求您提供有关您的完整教育背景及质量的证明文件，包括本科和硕士阶段的教育情况以及其他高等教育经历。如果您的院校采用“文凭补充文件”（这是大多数欧洲院校的常见做法），则必须提交此文件。所需文件的说明可在此处查看。如果您已获得挪威高等教育与技能局（HK-dir）的声明，也请一并提交。 将考虑联合研究机会。若难以明确您在联合研究中的贡献，必须附上关于您参与情况的简要说明。 在评估最符合条件的候选人时，我们注重其必要的资质，如教育背景、经验以及个人适配性。候选人的动机、抱负及研究潜力也在评估过程中被考虑。挪威科技大学认同多种形式的学术贡献，并致力于《旧金山研究评估宣言》与 CoARA 原则（根据挪威科技大学的社会使命，对研究进行负责任的评估，并认可更广泛的学术贡献）。 评估流程：申请者将由专家委员会根据提交的资格证明及相关文件进行评审。评审将考虑学术成就、申请者教育背景的质量与相关性、研究潜力以及岗位适配性。入围候选人可能会被邀请参加面试。最终聘用安排将依据该大学关于聘用的相关规定进行确定。