Adjunct Professor – MSc Data Analytics (Online, 1-month contract) About the role We are seeking U.S.–educated subject-matter experts to design, record, and deliver one graduate-level module (3 credits, ≈45 contact-hours) in our online MSc Data Analytics programme. You will: • Pre-record high-quality video lectures and hands-on demos. • Run at least one live Q&A / workshop. • Assess student work and provide feedback during an intensive four-week teaching block. The four modules for which we are recruiting—together with the expertise we need—are: Expertise area Snapshot of key topics Machine Learning Supervised & unsupervised methods, ensemble models, evaluation metrics, Python (scikit-learn, pandas) Machine Learning Data Mining & Text Analysis Data preprocessing, clustering, association rules, sentiment & topic modelling, SQL/NoSQL, visualization tools Data Mining & Text Anal… Natural Learning Process (NLP) NLP pipeline, corpora handling, sequence tagging, BERT/transformers, information extraction, Python (NLTK, spaCy, huggingface) Natural Learning Process Neural Networks & Deep Learning ANN/CNN/RNN/LSTM, computer vision, GANs, hyper-parameter tuning, TensorFlow 2.x/Keras (PyTorch optional) Neural Networks and Dee… You may indicate more than one area of expertise, but you will be contracted for one module. Core responsibilities • Instructional design & recording – Create 6–8 hours of concise HD lecture videos and runnable notebooks that map to the module’s learning outcomes. • Live engagement – Host at least one synchronous session (webinar or live-coding) and participate in LMS discussions during the block. • Assessment – Prepare quizzes/assignments, grade submissions, and return feedback within 72 hours. • Quality & compliance – Meet institutional rubrics, uphold academic-integrity and GDPR/FERPA standards, and deliver all artefacts by the required deadlines. Required qualifications & skills • Master’s or PhD awarded by an accredited U.S. university in Computer Science, Data Science, Statistics, Electrical/Computer Engineering, or a closely related field. • Demonstrated technical mastery in the chosen expertise area (see table above). • Prior university-level teaching or corporate-training experience—online preferred. • Proven ability to create engaging recorded content (clear audio/video, effective screen capture) and to teach hands-on labs in Python. • Excellent written and spoken English and strong cross-cultural communication skills. Desirable • PhD with peer-reviewed publications in AI/ML/NLP/Data Mining. • Relevant industry experience applying analytics or deep learning. • Familiarity with Canvas, Moodle, Blackboard, or comparable LMS platforms. Contract details • Duration: 1 month (specific dates confirmed at appointment). • Workload: Prep period → four-week teaching block → prompt grading of final assessments. • Location: Remote; reliable high-speed internet required. • Remuneration: Competitive fixed honorarium plus instructional-design support and access to our digital resources. • Deliverables: All videos, slides, code, and assessments must be submitted seven days before student access. Application package 1. Curriculum vitae highlighting teaching and industry experience. 1. Copy of U.S. graduate-degree transcript or secure digital credential. 1. 10-minute sample lecture video (link) demonstrating subject mastery and online-teaching style. 1. One professional or academic reference (name and email). 1. Preferred expertise area(s) and earliest availability