建筑领域人工智能辅助生命周期评估的社会适应性博士候选人

该博士项目旨在研究建筑、工程与施工领域对人工智能支持的生命周期评估（LCA）工具的社会接受程度。 将利用实际案例应用与混合研究方法，以分析这些人工智能工具对环境决策中的透明度、责任性及专业判断的影响。

About the position: Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia. A PhD position in Societal readiness for AI-supported life cycle assessment in the architecture, engineering, and construction sectors is now open at the Energy and Environment Group at the Department of Architecture and Technology, NTNU. The Energy and Environment Group lead centres/projects like the Research centre on zero emission neighbourhoods in smart cities (ZEN) , syn.ikia – Sustainable plus energy neighbourhoods , and the Green Deal ARV project on Climate positive circular communities. We use real demonstration projects and our laboratory facilities (like the ZEB laboratory ) extensively in our research. The group currently comprises 10 senior staff members (professors and associate professors), and around 20 research fellows (research assistants, PhD candidates, and post-doctoral researchers). The duration of the position is 3 years. Your immediate leader will be the Head of Department. About the project: Life Cycle Assessment is a key instrument for environmental governance in the architecture, engineering, and construction industry. At the same time, new artificial intelligence (AI) based tools are beginning to automate central parts of the LCA-based design practice. This includes data gathering, model construction, scenario generation, results interpretation, and decision support. This development may increase speed and usability, especially in early-stage design, but it also raises important questions about transparency, methodological integrity, accountability, professional judgement, and institutional preparedness. This PhD project will examine the societal readiness of the architecture, engineering, and construction sectors for AI-supported environmental assessments. The use of AI-supported LCA tools will be studied through case applications, including usage of machine-learning approaches, large language models, and automated workflows. The project will analyze how such tools reshape trust, responsibility, accountability, and professional judgement in environmental decision-making, by adopting a mixed-method approach. The project will be carried out at the Department of Architecture and Technology at NTNU, in cooperation with SINTEF Industry, department of Manufacturing and NTNU Social Research. The immediate leader is head of department. The place of duty is Trondheim. Duties of the position: Carry out research of high quality on AI-assisted LCA in-light of applied use, environmental governance challenges, and societal readiness. Publishing in high-quality peer reviewed journals and popular science dissemination. Participate in the Energy and Environment research group at the Department of Architecture and Technology. Participate in international activities such as conferences and/or research stays at foreign educational institutions. Complete academic training consisting of coursework corresponding to a minimum of 30 ECTS Career-enhancing work, which is in addition to the research project and doctoral education, may be offered to a candidate who demonstrates clear motivation and ability for such work, and if the Department determines there is a need. Examples of career-enhancing work include, but are not limited to, contributing to teaching, laboratory and exercise teaching, supervision, and examination work within the employee's areas of competence. Be prepared for changes to your work duties after employment. Be prepared for changes to your work duties after employment.

Required selection criteria: You must meet the requirements for admission to the doctoral program in architecture , see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in Architecture, Industrial Ecology, Science and Technology studies, Computer 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 and no later than November 1st, 2026. 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 written and oral English language skills. Strong analytical skills and capabilities, proven through courses and/or thesis deliverables. Motivation to work on the selected topic. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position. Preferred selection criteria: Competence in Life Cycle Assessment and/or other environmental sustainability analysis methods. Previous relevant experience with use of Artificial Intelligence (e.g., large language models, machine learning, etc.), especially for Life Cycle Assessment or carbon accounting. Good programming skills in one or several languages (e.g., Python, MATLAB, R, etc.). Previous experience with relevant concepts from Science and Technology studies (such as co-production) will be seen in a positive light. Good oral and written presentation skills in Norwegian/Scandinavian language(s). Personal characteristics: Strongly motivated to work on the topic. The successful candidate will become part of a multidisciplinary research environment. The candidate is expected to embrace this setting and be a true team player. Self-driven with a strong ability to work independently and maintain good structure and discipline in their work. Demonstrated integrity and a strong sense of responsibility in their research conduct. 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. At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality.

We offer: Evaluate and remove/add what is relevant for the position. 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 Working capital that can be used to implement the project Mentor programme as a new employee at NTNU Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK) Free Norwegian language training at a basic level (A2). 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. 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 Architecture within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of employment. 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。 请注意：申请将仅依据我们在申请截止日期前收到的信息进行评估。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。 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之前提交。 简短动机信（400字/1页） 一份1-2页的概述稿，旨在说明申请者的背景与研究志向符合该职位的要求。 适用的出版物清单或其他相关研究工作列表。 如有适用，请提供其他相关证书或文件以证明具备相关的专业培训背景。 三位相关推荐人的姓名与联系方式 如果您的全部或部分教育经历是在国外完成的，除了其他高等教育内容外，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，包括学士和硕士阶段的教育。如果您所在的院校采用“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。 所需文件说明可在此处查阅。如果您已获得挪威高等教育与技能局出具的证明（HK-dir），也请一并附上。 将考虑合作研究机会。若难以明确说明您在合作研究中的贡献，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。挪威科技大学认可各种学术贡献，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）。

Required selection criteria: Excellent written and oral English language skills. Preferred selection criteria: Good oral and written presentation skills in Norwegian/Scandinavian language(s).