交通安全方向博士研究员(聚焦数据分析与交通模拟)
Doctoral student in traffic safety focusing on data analysis and traffic simulation
原帖优先:申请材料、截止时间与资格以原帖和学校官方说明为准。
AI 中文速览
- 研究内容
- 该博士项目致力于开发和应用定量方法进行交通安全分析,结合实证碰撞与交通数据、统计建模、机器学习以及交通或驾驶模拟,研究事故发生率、受伤严重程度及道路使用者行为。
- 申请条件
- 申请人需具备交通工程、土木工程、交通工程学、应用统计学、数据科学、计算机科学或相关领域的硕士学位(或同等学历),具备定量分析复杂经验数据的课程或论文经历,熟练使用Python、R、MATLAB等编程语言,并具有非常好的英语听说读写能力。
- 待遇
- 全职固定期限雇用职位,标准博士学习期限为4年(若包含教学或其他部门职责则相应延长),员工可享受慷慨的年假和优厚的职业养老金计划。
- 申请方式
- 申请须用英语撰写,并通过隆德大学招聘系统提交,面试计划于10月底举行。
- 材料清单
- 简历(CV)
- 涵盖申请动机及研究项目契合度的求职信(Cover Letter)
- 已颁发的学习证书和/或学位证书副本(以证明符合一般和特定入学要求及学科知识)
- 其他希望被考虑的文件(如成绩单、推荐人联系方式、推荐信等)
由 gemini-2.5-flash-lite 生成,博士岗判定置信度 100%。
岗位信息
- 截止
- (Europe/Stockholm) 剩 4 天
- 学科
- 工程
- 合同类型
- 雇佣合同
- 工作时间
- 全职工时的 20%
- 原帖发布
- 本站收录
- 内容更新
- 来源
- Lund University 官方招聘 · 最近核对 2026-10-12
- 详情核验
其他发布渠道
- Varbi(北欧高校招聘系统)(官方)
判定依据(原文摘录)
- is_phd
As a doctoral student, you are both admitted as a student and employed at Lund University.
- english_ok
very good command of English, spoken and written.
- bachelor_ok
a master's degree, or equivalent, in transportation engineering, civil engineering, traffic engineering, applied statistics, data science, computer science or another field relevant to the project.
原文
Description of the workplace Transport and Roads offer a unique and open environment for advanced research on traffic safety and behaviour. The group counts five senior researchers (postdocs and senior lecturers) and two PhD students. On the availability of the group, there is a traffic simulation lab with an advanced driving simulator . The group has several active projects in the field of traffic safety, European and national. As a doctoral student, you will contribute to research intended to improve the understanding and prevention of road crashes and injuries. You will work closely with senior researchers while developing an independent research profile. The position provides opportunities for interdisciplinary and international collaboration, conference participation and research visits where relevant to the project. Being a doctoral student As a doctoral student, you are both admitted as a student and employed at Lund University. As a doctoral student, you will be trained in a scientific approach. In short, you will be trained to think critically and analytically, to solve problems independently using the right methods, and to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your leadership and pedagogical skills. Throughout your studies, you will be guided by supervisors. Doctoral studies end with a thesis and a doctoral degree. More about being a doctoral student at LTH on lth.se . Subject and project description The doctoral project concerns the development and application of quantitative methods for traffic-safety analysis. The research will combine empirical crash and traffic data with statistical modelling, machine learning and traffic or driving simulation to study crash occurrence, injury severity and road-user behaviour. Particular attention may be given to heterogeneous effects across road users and environments, the interpretation and validation of predictive models, and the safety effects of infrastructure or policy interventions. The precise research questions and balance between methods will be developed with the doctoral student in relation to the project's data, facilities and collaborations. The work is expected to produce both scientific contributions and knowledge relevant to traffic-safety practice and policy. Work duties You will primarily devote yourself to doctoral studies through research, third-cycle courses, seminars and conferences. You will plan and carry out studies with increasing independence, in collaboration with the supervisory team and project partners. The work duties include: • Review and synthesise research on traffic safety, crash analysis, road-user behaviour and relevant modelling methods. • Acquire, document, clean and analyse crash, traffic, infrastructure, behavioural or simulation data in accordance with research-ethics and data-management requirements. • Develop, implement, compare and validate quantitative models, which may include statistical, econometric, machine-learning and simulation-based approaches. • Interpret results in relation to traffic-safety theory, human behaviour and practical decision-making, including uncertainty, bias and limitations. • Prepare scientific articles and a doctoral thesis, and present results at seminars, conferences and meetings with project partners. • Contribute to the group's collaborative research environment and, where relevant, undertake research visits or field and laboratory work. • The duties may also include teaching and other departmental work, up to a maximum of 20% of working hours.
Qualifications To be eligible for admission and employment as a doctoral student, you must fulfil the requirements below. Admission requirements A person meets the general admission requirements for third-cycle courses and study programmes if the applicant: • has been awarded a second-cycle qualification, or • has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or • has acquired substantially equivalent knowledge in some other way in Sweden or abroad.
A person meets the specific admission requirements for third cycle studies in Technology and Society if the applicant has: • at least 30 credits awarded in the second cycle relevant to the subject area.
Additional requirements In order to complete the doctoral programme in question, the following are also required: • a master's degree, or equivalent, in transportation engineering, civil engineering, traffic engineering, applied statistics, data science, computer science or another field relevant to the project. • documented second-cycle coursework or thesis work involving quantitative analysis of transport, traffic-safety, mobility or comparable complex empirical data. • experience of using programming languages or statistical computing environments, such as Python, R, MATLAB or an equivalent tool, for data processing and analysis. • good ability to work independently, formulate research questions and select appropriate methods. • good written and oral communication skills, including the ability to communicate methods and results clearly. • good ability to cooperate in interdisciplinary and international research settings. • very good command of English, spoken and written. • you are structured, analytical and persistent.
Other qualifications For the doctoral programme and project, the following are considered advantageous: • knowledge of traffic-safety theory, crash and injury analysis, road-user behaviour, transport planning or road-infrastructure safety. • experience of advanced quantitative methods, such as regression or discrete-choice models, latent-class or random-parameter methods, machine learning, explainable AI, causal or intervention evaluation. • experience of working with large, multi-source or international transport datasets, including data preprocessing, reproducible analysis and model validation. • experience of scientific writing, peer-reviewed publication, conference presentation or experience of teaching. • experience of collaboration with researchers and stakeholders across disciplines or countries.
We offer Lund University is a public authority, and employees receive benefits including generous annual leave and an advantageous occupational pension scheme. The Transport and Roads division offers access to an active traffic-safety research environment, advanced simulation facilities, research seminars and established Swedish and international collaborations. More about working at Lund University on lu.se . About the employment The employment is a fixed-term employment at full time, starting as soon as possible. Third cycle studies at LTH consist of full-time studies for 4 years. In the case of teaching and other departmental duties, the employment is extended accordingly. Doctoral studentships are regulated in the Higher Education Ordinance (1993:100), chapter 5, 1-7 §§. More about terms of employment for doctoral students on Lund University’s Staff pages . Other We plan to hold interviews at the end of October. How to apply Applications shall be written in English and include: • CV and a cover letter stating the reasons why you are interested in the doctoral programme/employment and in what way the research project corresponds to your interests and educational background. • Copies of issued study certificates and/or awarded degree certificates. These must confirm that you meet the general and specific admission requirements for the doctoral programme and show that you have the subject knowledge required for the doctoral programme project. • Other documents you wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.)
We welcome your application.