The staffs must be willing to work on multi-disciplinary research projects at the intersection of computational neuroscience and AI. This includes designing human behavioral experiments and collecting human responses, alongside developing computational models of cognitive functions (visual attention, eye movements, visual perception, memory, context reasoning, and multi-agent decision making).
Requirements for positions in computer vision or machine learning:
- (preferred; not compulsory) Have at least 1 publication (1st, 2nd, or 3rd authors) in ICLR, CVPR, ICCV, AAAI, ICML, NeurIPS, TPAMI, IJCV, IJCAI, WACV, ECCV, EMNLP
- Good knowledge in Multi-agent Reinforcement learning, deep reinforcement learning, Convolution Neural Nets, Hebbian learning, vision transformer, continual learning, scene graphs, reward, inverse reinforcement learning, backpropogation, shape bias, knowledge distillation, self-supervised learning, augmented memory, variational auto-encoder, associative memory, foveation, Blender, cause-effect, neuro-symbolic, recurrent neural networks, LSTM, Mturk, Prolific, Python, Matlab, Pytorch, Tensorflow, NVIDIA, cross-entropy, maximum likelihood, metric learning, representation learning, open-set, long-tailed, object detection, object classification, mixup, style transfer, data augmentation, curriculum learning, generalization, out-of-distribution, domain shifts, random forest, decision tree, Monte Carlo tree search, hard and soft attention, meta-learning, depth estimation, video tracking, predictive coding
Requirements for positions in neuroscience and cognitive science:
- (preferred; not compulsory) Have at least 1 publication (co-authors) in Nature/Science and their subjournals, PNAS, Journal of Vision, PLOS computational biology, Psychonomic Bulletin & Review, Trends in Cognitive Sciences, Vision Research, Attention, Perception, & Psychophysics, Visual Cognition, Current Biology, Vision, Journal of Experimental Psychology, Psychological Review, Cognition, Philosophical Transactions of the Royal Society B: Biological Sciences, Proceedings of the xx Annual Conference of the Cognitive Science Society, PLoS ONE
- Good knowledge in eye fixations, saccades, eyetracker, Unity3D, Blender, rendering, foraging, memory, stroop test, Hebbian, virtual reality, eye movements, hippocampus, pre-frontal cortex, intuitive physics, theory of mind, Prolific, Mturk, visual search, foveation, Garbor filters, retinal ganglion cells, receptive field, on-center-off-surround receptive field, Gestalt psychology, visual illusion, synapse, Long-term potentiation, plasticity, HMAX, Matlab, Python, predictive coding
The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.
