Open Post Doc Position on Bayesian Computational Modelling for multimodal social interaction

Looking for a Post Doctoral Research Associate to collaborate at the development of Bayesian (DCM and Active Inference) computational models of multimodal social interaction taking into account the role of human chemosignals perception. This will involve also the development of robust algorithms for signal processing, statistical inference and extraction of information from EEG and other physiological signals, as well as the design and implementation of software for the execution of experiments with adaptive VR stimulation.

Application closing date 02/01/2019
Application Links

Job Details

 The School of Computer Science and Electronic Engineering, the Department of Psychology, and the Essex Brain-Computer Interfaces and Neural Engineering Lab are pleased to announce this postdoctoral position in the Horizon 2020 project “POTION: Promoting social interaction through emotional body odours”. The project will last five years and start in January 2019 and includes partners from the Universities of Pisa (Italy), Padova (Italy), and Essex (UK), the Universitat Politecnica De Valencia (Spain), the Katholieke Universiteit Leuven (Belgium), and the Karolinska Institutet (Sweden), and three companies ISPA CRL (Portougal), SRA Instruments (France) and Feel-Ing s.r.l. (Italy). POTION proposes a novel technological paradigm to delve deeper into understanding meaningful social interaction, combining new knowledge about the chemical composition of human social chemosignals together with a novel olfactory-based technology designed to drive social behaviour.  

Duties of the Role

The Essex team’s work on the project focuses on the development of Bayesian (DCM and Active Inference) computational models of multimodal social interaction. This models will be applied to evaluate socially relevant variables, such as trust, presence and inclusion as well as to generate optimal stimuli in artificially mediated social interactions. In particular, the models will cover the role of human chemosignal perception in social interactions. The models will be identified and tested using neurophysiological data (e.g. EEG), peripheral physiological activation (i.e., ECG, RESP, EDA) and behavioural changes (i.e., f-EMG) collected using VR scenarios of increasing complexity. The successful applicant will research and develop Bayesian (DCM and Active Inference) computational models of multimodal social interaction with an emphasis on the role of human chemosignals. They will also develop robust algorithms for signal processing, statistical inference and extraction of information from EEG and other physiological signals, design and implement software for the execution of experiments with VR stimulation, and contribute to the reporting and dissemination of the project.  

Skills and qualifications required 

Applicants are expected to hold a PhD (or be close to completion) in Computational Neuroscience, Brain-computer Interfaces, Neural Engineering, Psychology, Machine Learning, Statistics, Physics, Mathematics, Computer Science or a closely related discipline, or equivalent professional experience or practice. The ideal candidate will have significant experience in computational modelling of social interaction, signal processing, statistical modelling of neural signals and processes, brain-computer interfaces, and virtual reality interfaces. Applicants are also expected to have a strong publication record (relative to their career stage) as first author, ideally including publications in 1st quartile journals in relevant areas. We strongly encourage women to apply as they are currently under-represented in the School of Computer Science and Electronic Engineering. 

At the University of Essex internationalism is central to who we are and what we do. We are committed to being a cosmopolitan, internationally-oriented university that is welcoming to staff and students from all countries and a university where you can find the world in one place.

Share this...
Share on Facebook
Tweet about this on Twitter

519 thoughts on “Open Post Doc Position on Bayesian Computational Modelling for multimodal social interaction”

  1. Pingback: clit vibrators
  2. Pingback: zwrot prowizji
  3. Pingback: clitoris vibrator
  4. Pingback: porn
  5. Pingback: fingertip massager
  6. Pingback: Dog Bandanas
  7. Pingback: FREE ROBUX
  8. Pingback: air freshener gels
  9. Pingback: phen375
  10. Pingback: rabbit sex toy
  11. Pingback: seo hk
  12. Pingback: womanizer vibrator
  13. Pingback: realistic dildo
  14. Pingback: Bình Dương Ford
  15. Pingback: male sex toy
  16. Pingback: frozen 2
  17. Pingback: free app for pc,
  18. Pingback: free robux 2019
  19. Pingback: must see this
  20. Pingback: new vibrators
  21. Pingback: PORN DOWNLOAD
  22. Pingback: VIAGRA
  23. Pingback: penis extender
  24. Pingback: get free robux
  25. Pingback: XXX VIDEOS
  26. Pingback: games friv 2020
  27. Pingback: cheap viagra
  28. Pingback: viagra men
  29. Pingback: website analitics
  30. Pingback: best cbd for sleep
  31. Pingback: giày nike
  32. Pingback: PORN DOWNLOAD
  33. Pingback: Anime Batch
  34. Pingback: CHEAP VIAGRA
  35. Pingback: full apps download
  36. Pingback: VIRUS.EXE
  37. Pingback: vertoprah
  38. Pingback: Azo
  39. Pingback: plakirovanie
  40. Pingback: realistic dildos
  41. Pingback: best toys for men
  42. Pingback: adam and eve toys
  43. Pingback: LEGO 41360
  44. Pingback: cbd oil for sleep
  45. Pingback: silicone dildo
  46. Pingback: biography wiki
  47. Pingback: CHEAP VIAGRA
  48. Pingback: vibrating beads
  49. Pingback: sex toys haul
  50. Pingback: try me bitch ;)
  51. Pingback: best sex swings
  52. Pingback: mens stroker
  53. Pingback: best bunny vibe
  54. Pingback: g spot orgasm
  55. Pingback: Koinonia Messages
  56. Pingback: fast food near me
  57. Pingback: clinic near me
  58. Pingback: restaurant menus
  59. Pingback: SEX ONLINE
  60. Pingback: smart products
  61. Pingback: Naijaloaded
  62. Pingback: popular vibrators
  63. Pingback: sleeve gastrectomy
  64. Pingback: dog trainer
  65. Pingback: ABP 936
  66. Pingback: terjemahan
  67. Pingback: PORN
  68. Pingback: url
  69. Pingback: 더나인카지노
  70. Pingback:
  71. Pingback: SCOP-659

Leave a Reply