无线胶囊内镜色彩与图像增强博士候选人

本项目旨在通过计算机视觉与人工智能技术的创新，提升无线胶囊内镜（WCE）的成像性能，重点改善炎症性肠病的图像质量与诊断效果。主要目标包括开发用于颜色校正及图像一致性处理的方法，需具备医学影像、编程及图像处理方面的技能。

About the position: Are you interested in pursuing a doctoral degree in an international research environment? This position offers the opportunity to join the Marie Skłodowska-Curie Actions (MSCA) Doctoral Network CAPTURE, collaborate with academic, healthcare, and industry partners across Europe, and develop expertise within a multidisciplinary research project on wireless endoscopy. As part of the CAPTURE network, the PhD Candidate will participate in workshops, conferences, transferable skills training, and research secondments with partner organisations. The position provides opportunities for both academic and professional development within an international setting. The successful candidate will be offered a fixed-term, full-time position as a PhD Candidate for a period of 36 months and will be enrolled in a PhD programme leading to the award of a doctoral degree. The expected start date is 1 August 2027. Your immediate leader will be the unit leader of Colourlab. About the project: About the Capture project The CAPTURE project is an EU-funded Marie Skłodowska-Curie Actions (MSCA) Doctoral Network dedicated to advancing wireless capsule endoscopy (WCE) through developments in computer vision and artificial intelligence. The project aims to improve image-based diagnosis, monitoring, and treatment by developing methods that reduce clinicians’ workload, enhance imaging quality, and support more accurate and timely diagnoses. CAPTURE combines research with a strong focus on doctoral training, preparing a new generation of researchers to work at the interface of technology and medicine. The consortium brings together expertise from academia, industry, and hospitals, ensuring that the research is both scientifically rigorous and clinically relevant. The project focuses on inflammatory bowel disease (IBD), reflecting its growing prevalence in Europe. As many of the methods developed have broader applicability, the project will also consider other gastrointestinal diseases. These goals will be achieved through the recruitment and training of 15 doctoral candidates in an international and intersectoral environment, providing interdisciplinary expertise across the technical, clinical, and applied aspects of WCE. A bout the PhD project The overall objective of the PhD project is to improve the diagnostic quality and reliability of Wireless Capsule Endoscopy (WCE) image data through advanced colour correction, contrast enhancement, and consistent visualisation. Specific objectives are to: develop methods for combined c olour correction and contrast enhancement of WCE image and video data; define a colour palette and suitable reference target for gastrointestinal imaging; establish measurement protocols and guidelines for accurate and reproducible colour acquisition; quantify inter-device variability among WCE systems and determine whether device-specific or general calibration models are required; develop objective and subjective methodologies for evaluating colour fidelity, image quality, and perceptual improvements; apply psychometric and statistical methods to validate the proposed methods; develop a display visualisation pipeline for consistent and perceptually accurate presentation of WCE images across different viewing conditions. Duties of the position: Complete the doctoral education until obtaining a doctorate. Carry out research of good quality within the framework described above. Academic publications and popular science dissemination. Participate in the Colourlab research group. Participate in the network’s joint research and training activities, both online and in person across the CAPTURE partner institutions and contribute to CAPTURE project deliverables in accordance with the Description of Action and the project's governance procedures. Participate in international activities such as conferences and/or research stays at foreign educational institutions. Particularly, secondments of a few months’ duration are foreseen to Sheffield Teaching Hospitals NHS Foundation Trust (STH) and University of Granada (UGR). Be prepared for changes to your work duties after employment

Required selection criteria: You must have experience with imaging, colour science, colour metrology, image processing, or medical imaging, Very good programming skills. 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 i n 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, imaging science 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: Medical imaging or biomedical data Colour calibration, colour science and colour metrics (e.g., ΔE), or imaging standards Machine learning or AI applied to image enhancement Familiarity with: Psychophysical experiments or perceptual evaluation methods Image/video quality assessment techniques Interest and ability to work in interdisciplinary collaboration with clinicians and industry partners Excellent analytical and communication skills Personal characteristics: To complete a doctoral degree (PhD), it is important that you are: Independent and self-directed – able to take responsibility for your work, set goals, and plan how to achieve them. Analytical and critical – able to analyse data, consider different perspectives, and draw well-founded conclusions. Collaborative and communicative – able to present and discuss research clearly, contribute constructively, and give and receive feedback. Adaptable and persistent – able to work constructively under pressure, handle setbacks, and adjust plans when necessary. Curious and motivated – demonstrate intellectual curiosity, initiative, and strong motivation for the research topic. 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 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：申请将仅根据截止日期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要求。申请及所有附件必须通过 Jobbnorge.no 电子方式提交。如果受邀参加面试，您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及学位证书。 个人简历 CV。 硕士论文副本。如果您近期已提交硕士论文，可以附上论文初稿。获得完整硕士学位的证明文件必须在入职之前提交。 项目大纲包含对研究问题的整体描述、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。 可能的证书。 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整个教育体系的范围与质量的证明文件，包括本科和硕士阶段的教育，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。关于所需文件的描述可在此处查看。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。如果难以明确说明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。 在评估最合格的候选人时，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）。 申请者将依据提交的材料及资格由专家委员会进行评审。评估将考虑学术成就、申请者的教育背景质量与相关性、研究潜力以及对该职位的适配性。入围候选人可能会被邀请参加面试。最终聘用将按照该大学关于聘用的相关规定进行决定。