人群模拟和创作博士职位

PhD Position F/M Local Crowd Simulation and Authoring in Augmented Reality for Large-Scale Event Planning

Inria · 法国 · Rennes

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研究内容
研究内容:人群模拟和创作在增强现实中用于大型活动规划的局部交互式方法。
申请条件
要求:硕士学位,精通C++和/或C#,具备计算机图形学、人群模拟或虚拟/增强现实背景,英语流利。
待遇
待遇:月薪2300欧元,享受补贴餐费、交通费报销、7周年假、10天额外休假等福利。
申请方式
申请方式:在线提交简历、求职信和推荐信。
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结构化信息

截止
(Europe/Paris) 剩 47 天
学科
计算机科学
合同类型
雇佣合同
原文薪资
EUR 2,300 / 月(税前)
税后月薪(估)
¥13,800;房租后 ¥7,900
估算假设
单身、无子女、雇佣合同的粗略估算,以学校 offer 为准;扣除率 24%;汇率日期 2026-10-01
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内容更新
入职
2027-01-01
导师
Hoyet Ludovic
来源
法国高校与研究机构官方招聘 · 最近核对 2026-10-07
判定依据(原文摘录)
  • is_phd
    PhD Position F/M Local Crowd Simulation and Authoring in Augmented Reality for Large-Scale Event Planning
  • english_ok
    Proficiency in English (orally and in writing) to interact with the different international project partners
原文

PhD Position F/M Local Crowd Simulation and Authoring in Augmented Reality for Large-Scale Event Planning

Download job offer in PDF format

Contract type : Fixed-term contract

Level of qualifications required : Graduate degree or equivalent

Fonction : PhD Position

About the research centre or Inria department

The Inria center at the University of Rennes is one of eight Inria centers and has more than thirty research teams. The Inria center is a major and recognized player in the field of digital sciences. It is at the heart of a rich ecosystem of R&D and innovation, including highly innovative SMEs, large industrial groups, competitiveness clusters, research and higher education institutions, centers of excellence, and technological research institutes.

Context

Large-scale events — music festivals, sporting ceremonies, urban celebrations — are organised with increasing frequency and scale, and their planning routinely raises complex crowd management questions regarding layout, capacity and safety. Crowd simulation is one of the few tools currently available to support this planning stage, allowing organisers to anticipate crowd flows or evaluate evacuation procedures. However, it remains fundamentally limited to a global, external, desk-based perspective: a simulation is configured with parameters set at the scale of an entire site — density, flow directions, entry and exit points — run as a whole, and observed from the outside, typically through 2D visualisations or bird's-eye 3D renderings. This paradigm is well suited to large-scale planning, but it cannot capture how a crowd interacts with the specific physical layout of a venue, how attendees experience being immersed within it, or how staff should be trained to navigate and make decisions in complex, situated crowd configurations.

This PhD position is part of PEAR, a collaborative ANR PRCI project between Inria, the Luxembourg Institute of Science and Technology (LIST) and the firefighter department of the Laboratoire Central de la Préfecture de Police de Paris (LCPP), with Hellfest Productions and Paléo Arts & Spectacles as festival partners. PEAR is driven by the hypothesis that combining realistic virtual crowd simulation with immersive eXtended Reality (XR) can fundamentally change how large-scale events are planned, by shifting the perspective from a global, external view of crowds to an embodied, first-person, on-site experience of crowd dynamics. Rather than configuring a simulation from a desk and observing its output from outside, users would be physically present within a virtually populated version of a real environment, through Augmented Reality (AR), and explore crowd scenarios locally and interactively, directly on-site.

The prototypes developed within PEAR will be confronted with concrete, real-world use-cases. The primary evaluation ground is the New Year's Eve celebration on the Champs-Élysées, led by the LCPP, which brings together over one million people in a dense urban environment each year and requires revising layout configurations, barrier placement and field team deployment for every edition. Findings will subsequently be generalised to the Hellfest and Paléo festival sites, to validate the applicability of the approaches developed in this position across different event formats, scales and physical configurations.

Assignment

Within PEAR, this PhD focuses specifically on how crowd scenarios can be simulated, authored and configured locally and interactively, directly on-site through AR — as opposed to being configured globally from a desk. It is structured around three complementary objectives.

The first objective is to design a local crowd authoring paradigm in AR: enabling users to move from a globally pre-computed crowd simulation, configured from plans and site maps, to a local, interactive exploration and configuration of crowd behaviours at a specific, physical location. This requires decoupling local crowd behaviour from global simulation consistency, so that local modifications — e.g., increasing density in front of a stage, or repositioning a barrier at an entrance — remain plausible without a full re-computation of the whole-site simulation.

The second objective is to ground this local authoring in the real environment itself, without requiring the full topology of the site to be known or modelled in advance. The candidate will explore how representations such as Interaction Fields [Colas 2022] can be extended to infer local constraints from real-world semantic cues sensed through AR, and how on-site interaction paradigms can be designed to remain intuitive and accessible to non-expert users such as event organisers or safety officers.

The third objective is to contribute the underlying simulation and integration layer that makes on-site authoring possible in practice — in close collaboration with the AR platform development led within PEAR — and to evaluate the usability and effectiveness of the resulting local authoring paradigm: whether non-expert users can intuitively configure and explore meaningful crowd scenarios on-site, measured for instance through task completion time, NASA-TLX cognitive load, or SUS usability scores.

Main activities

Project Organisation

• Year 1: state of the art on crowd simulation, crowd authoring and AR-based interaction; contribution to the AR-ready integration platform and its shared data interface; first design of the local, on-site crowd authoring paradigm (initial demonstrator).

• Year 2: development and refinement of the local authoring paradigm, in particular the grounding of authored behaviours in real-world semantic cues; integration into the AR platform; first usability evaluation with non-expert users.

• Year 3: completion of the usability evaluation of the local authoring paradigm; contribution to the construction of the Champs-Élysées digital twin and to the immersive evaluation of crowd planning scenarios with the LCPP; participation in on-site evaluations at Hellfest and/or Paléo; thesis writing.

Skills

• Strong programming skills (C++ and/or C# recommended)

• Solid background in computer graphics, crowd simulation, or virtual/augmented reality

• Prior experience with Unity or Unreal Engine would be beneficial

• Interest in human-computer interaction, interaction design, and usability evaluation with human participants

• Proficiency in English (orally and in writing) to interact with the different international project partners

Benefits package

• Subsidized meals

• Partial reimbursement of public transport costs

• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)

• Possibility of teleworking (after 6 months of employment) and flexible organization of working hours

• Professional equipment available (videoconferencing, loan of computer equipment, etc.)

• Social, cultural and sports events and activities

• Access to vocational training

• Social security coverage

Remuneration

monthly gross salary 2300 euros

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General Information

• Theme/Domain : Interaction and visualization

Software Experimental platforms (BAP E)

• Town/city : Rennes

• Inria Center :

Centre Inria de l'Université de Rennes

• Starting date : 2027-01-01

• Duration of contract : 2 years

• Deadline to apply : 2026-11-23

Warning : you must enter your e-mail address in order to save your application to Inria. Applications must be submitted online on the Inria website. Processing of applications sent from other channels is not guaranteed.

Instruction to apply

Please submit online : your resume, cover letter and letters of recommendation eventually

Defence Security :

This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST).Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment.

Recruitment Policy :

As part of its diversity policy, all Inria positions are accessible to people with disabilities.

Contacts

• Inria Team :

VIRTUS

• PhD Supervisor :

Hoyet Ludovic / ludovic.hoyet@inria.fr

About Inria

Inria, the French national institute for research in digital science and technology, supports the French government in national research and innovation strategies in the digital field, acting as Digital Programs Agency. Inria leads over 300 research and innovation projects with its 3,500 scientists, engineers, and support staff, in partnership with universities and the digital ecosystem (businesses, entrepreneurs, and public stakeholders). Together, we explore strategic fields such as artificial intelligence, cybersecurity, quantum computing, cloud technologies, digital transformation in healthcare, digital twins, and digital technologies for defence. We develop practical solutions such as software, tech startups, partnerships with national companies, and cutting-edge training programmes. Our goal is to drive scientific, technological, and industrial excellence to ensure France’s digital sovereignty.

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