Foundations of Cognitive Science: cognitive science basics, human-computer interaction, Brain-Computer Interfaces (BCI), EEG signals

Artificial Intelligence & Machine Learning (AI-ML): ML pipeline (data collection, preprocessing, training, evaluation), supervised learning (regression, classification), unsupervised learning (clustering), model evaluation & accuracy metrics, common algorithms (random forest, naive bayes, knn, decision trees, k-means, linear & logistic regression)

Deep Learning (DL): neural network architectures, Convolutional Neural Networks (CNNs) for image data, Recurrent Neural Networks (RNN/LSTM) for time-series & sequential signals, working with pre-trained models, SOM (Self Organizing Maps),

Signal Processing: filtering techniques, noise/artifact removal, feature extraction from EEG/ECG/EMG signals, Time-series data handling

Data Science: data cleaning, statistical analysis, data visualization, experiment design, ETL pipeline

Software proficiency: Python (NumPy, pandas, scikit-learn, TensorFlow/Keras), EEGLAB, OpenBCI GUI, Jupyter, Psychopy, SQL, Django

Pay: ₹30,000.00 - ₹100,000.00 per month

Perks:

- Food provided

Work Location: In person

📌 Junior or senior Trainer in Cognitive Science Lab (India)
🏢 NIMS UNIVERSITY
📍 India