[News: November 2017] The HCI group has currently seven two open positions:

Post-doctoral Positions

PhD Positions

Research Engineers


Visit our summer internships webpage


Other jobs

Topic Details

Situated Analysis of Human-Machine Interactions in Smart Environments

Post-doc position, 12 months, contact: Yvonne Jansen

Keywords: HCI; Haptics; Virtual Reality; perception, information visualization, robotics

This project involves studying how to best provide situated feedback to users of smart environments. The successful candidate will collaborate with other members from the ISIR laboratory and the COSTECH lab at UTC Compiègne working on haptics and sensory substitution to study how to best transform environmental sensor readings into haptic stimuli and how to distribute such readings across the visual and tactile senses (a second post-doc will be working on the questions related to vision). For this opening we are looking for a candidate with experience in haptic perception and interfaces and experimental study design.

Deriving Performance-Optimized Gestural Interaction

Post-doc position, 12 months, contact: Gilles Bailly

Keywords: HCI; Cognitive Science; Model of Performance; User behavior; User expertise

The goal of this project is twofold: (1) establishing a new fundamental understanding of gestural interaction that influence performance, learning and usability of interactive systems; (2) providing methods and tools to help designers to design efficient gesture sets large-enough to cover numerous controls for both novice and expert users. To achieve this, we will answer questions such as What are the relationships between commands? and How to represent these relationships in the design space of gestures? Based on results on linguistics, we will build models of performance and develop optimization methods.


Interaction Techniques for Robotic Surgical Cockpit

Post-doc position, up to 2 years

Keywords: HCI; Interactional design; Co-manipulation; Robotics; Surgical robotics; Visualization

The project consists of augmenting the surgical cockpit to facilitate the execution of gestures during robotic laparoscopic surgery. We will design, implement and evaluate multimodal interaction techniques at the cross-road between HCI and Robotics. For instance, we plan to create 1) devices which will be manipulated by both the user and a robot to increase the robustness of the interaction or 2) devices using non-standard body parts such as the head or the feet.

Modeling Skill Acquisition in Gesture-based Interaction

PhD position, contact: Gilles Bailly

Keywords: HCI; Cognitive Science; Model of Performance; User behavior; User expertise

The goal of this thesis is to establish a new fundamental understanding of gestural interaction that influence performance, learning and usability of interactive systems; To achieve this, the PhD student will answer questions such as What are the relationships between commands? and How to represent these relationships in the design space of gestures? Based on results on linguistics, the PhD student will build models of gesture performance.

Modeling Skill Acquisition in Human-Computer Interaction by Using Reinforcement Learning

PhD position, contact Gilles Bailly ASAP

Keywords: HCI; Reinforcement Learning; Artificial Intelligence; Skill Acquisition

This PhD thesis is at the crossroad of Human-Computer Interaction (human behavior) and Artificial Intelligence (Reinforcement Learning). The goal is to model and analyze the behavior of users with graphical user interfaces. By modeling human factors, we want to analyze the possible causes of failure explaining why most of the users remain in a local optimum of performance. For instance, explaining why many users continue to navigate in hierarchies of menus instead of using efficient shortcuts (keyboard and gesture shortcuts) even after many years of practice. We formulate skill acquisition in interactive systems as a Reinforcement Learning problem: users behaviors emerge by finding the optimal policy considering 1) the ecological structure of the interaction, 2) cognitive and perceptual limits of the users and (3) the goal to maximize the trade-off between short-term productivity and long-term performance. Methods will include state-of-art Reinforcement Learning algorithms but should be adapted to take into account the hierarchical and non-stationary nature of the problem. The outcomes of this thesis are threefold: (1) scientific. A better understanding of skill acquisition in graphical user interfaces; (2) Technical. Hierarchical reinforcement learning algorithms dealing with non-stationary armed-bandit problems and memory; (3) Engineering. Design tools integrating the models to help designers comparing different interfaces.

Design and Implementation of 3D Interaction Techniques to Explore and Interact with Archeological Data

PhD position, contact us ASAP

Keywords: 3D interaction; HCI; Virtual Reality; 3D Manipulation; Haptics

The PhD student will design, implement and evaluate interaction techniques for 3D archeological data. These techniques will facilitate the manipulation, the navigation and the exploration of these large sets of data. These techniques will also highlight the the internal structure of these data to facilitate the formulation of hypothesis and the works of scientists. The PhD student will propose, with experts of the domain, novel evaluation criteria that go beyond the traditional performance  criteria (speed/accuracy). The proposed solutions might software (gesture-based interaction, multi-touch interaction, etc.) or hardware (haptic devices, VR, etc.) or a combination of these approaches.

This PhD thesis is part of a multi-disciplinary project involving computer scientists, mathematicians, historians, archeologists.

Situated Analysis of Human-Machine Interactions in Smart Environments (this position has been filled)

Research engineer position, 12 months

Keywords: mixed reality displays, robotics, haptics

We are looking for a skilled research engineer whose main task will be to realize research prototypes involving haptic interfaces and various displays combined with robotic components to realize virtual and mixed reality interfaces. The ideal candidate has skills in electronics and micro-controller programming and an open and creative attitude.

How to apply?

If you choose to apply for one of the listed positions, please send an e-mail to the person indicated in the listing of the position or, if no specific person is indicated, to both gilles.bailly@upmc.fr and yvonne.jansen@upmc.fr
In your email please include

  1. A short statement of your interest in the position you are applying for
  2. A recent CV,
  3. If applicable: a list of your previous HCI publications / HCI projects with links to the full-text of your publications,
  4. 1 reference (2 references for Post-docs) who can write a letter of recommendation for you.

Why apply at HCI Sorbonne?

The development and the success of our students (from Bachelor to PhD) is a high priority in our group. We provide regular and personal guidance to ensure that students learn to lead successful research projects.

Our group has a strong track record at the CHI conference and is part of the exciting and multi-disciplinary ISIR laboratory (robotics, machine learning, perception, cognitive science, haptics, social interaction, etc.). The ISIR lab is currently part of the Pierre et Marie Curie University. In 2018, it will merge with the University Paris-Sorbonne to form the new Sorbonne University with three autonomous faculties: Humanities and Social Sciences, Sciences and Medicine.

Key Figures
58 800 students (10 000 are international students), 5 200 doctoral candidates, 7 700 professor-researchers in 200 laboratories.