The (Senior) Research Engineer 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).
Job Requirements:
- Bachelor's degree (or above) in Computer Science, background in AI.
- At least 2 years of experience
- Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
- Proficient in coding any of the following models, algorithms, hardwares, tools (at least 5 from the list below):
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
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.
