多光谱无线胶囊内窥镜博士候选人 (WCE)

The CAPTURE project focuses on advancing wireless capsule endoscopy (WCE) through developments in computer vision and artificial intelligence. The research aims to improve image-based diagnosis for inflammatory bowel disease and gastrointestinal diseases, optimizing multispectral imaging for better pathology detection. Candidates should have experience in imaging or image processing and strong programming skills.

About the position: NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. This position will be in Gjøvik, Norway. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. Video: ［会员资料链接］ 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: 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. Duties of the position: The WCEs currently applied for gastrointestinal imaging mainly contain RGB cameras. This is not necessarily optimal for imaging inside the gastrointestinal system. This project aims at studying multispectral imaging of the gastrointestinal system, enabling multispectral imaging capabilities for WCE. The focus will be on finding optimal spectral bands for relevant pathologies as well as efficient design of spectral imaging process. The goals for this PhD project are: Determine the most suitable spectral bands for detection and classification of target pathologies under given resource constraints like sensor size, power consumption etc. Investigate methods for improved pathology detection and visualisation for suggested multispectral approach. Experimental verification of spectral bands using emulated capsule. This will include application of advanced hyperspectral equipment to measure target pathologies, construction of custom endoscope for experimental verification, as well as testing at Innlandet Hospital Trust. Key responsibilities 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 University of Thessaly in Greece and University of Granada in Spain. Be prepared for changes to your work duties after employment.

Required selection criteria: You must have solid experience with imaging or image processing. You must have 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 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, 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: Background in multi- or hyperspectral imaging. Experience with hardware and electronics in general. 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: Work independently and in a structured way, set goals and make plans to achieve them Present and discuss your research with other professionals, and get involved and contribute constructively with feedback Work constructively under pressure or in the face of adversity, and be flexible and open to adjusting the plan for the project as needed Show curiosity and a strong motivation for the subject Analyze data, assess different perspectives and draw well-founded conclusions 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.

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