University of Lahore

Description Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has launched its first Undergraduate (Bachelor’s) degree programs and is looking for passionate and highly motivated Teaching Faculty.  The Undergraduate Division is seeking teaching faculty at all levels with expertise in Software Engineering. This comprehensive course bridges theory and practice in modern software engineering, equipping students with the skills to design, develop, test, and deploy production-ready web and mobile applications while integrating AI technologies responsibly throughout the development lifecycle. Responsibilities include: Teaching courses across software engineering and related areas using inclusive, activity-led, project-based pedagogy Advising and mentoring students on coursework, projects, and research Contributing to curriculum development, assessment of learning outcomes, and service About MBZUAI – A Global Leader in AI Research and Education MBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2019, MBZUAI has grown into a top-ranked AI institution. With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions. Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a PhD in Software Engineering, Computer Science, Computer Engineering, Information Systems, or a closely related field. Technical Expertise in one or more of the following areas: Software architecture and design patterns Software development lifecycle (SDLC) and agile methodologies Full-stack web development Mobile application development Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience) Professional Practice - Demonstrated experience with: Version control systems Automated testing frameworks and methodologies API design and documentation Production deployment and monitoring Strong commitment to project-based learning and hands-on pedagogy Preferred Qualifications: Research: Evidence of sustained research impact and experience supervising student research Technical Proficiency with: Deployment of machine learning and deep learning models Modern JavaScript/TypeScript ecosystems (React, Node.js, React Native) Python web frameworks (FastAPI, Django, Flask) Database systems (SQL and NoSQL) Cloud platforms (AWS, Azure, or Google Cloud) Container orchestration (Docker, Kubernetes) Application Instructions To apply for this position, please submit the following:     Cover letter                                                     Curriculum Vitae Teaching statement                                                     Reference letters or Name and contact details for three referees MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.  Be a part of AI’s future – apply today at MBZUAI! #MBZUAI #careeropportunities #AI Equal Employment Opportunity Statement Mohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.

Description Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has launched its first Undergraduate (Bachelor’s) degree programs and is looking for passionate and highly motivated Teaching Faculty.  The Undergraduate Division is seeking teaching faculty at all levels with expertise in Bio and AI or Physics and AI. The target will be teaching part of an interdisciplinary course which explores the intersection of physics, biology, and artificial intelligence, equipping students with analytical and computational tools to model, simulate, and understand complex biological and physical systems. About MBZUAI – A Global Leader in AI Research and Education MBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2019, MBZUAI has grown into a top-ranked AI institution. With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions. Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a PhD or Master’s degree in Biophysics, Physics, Biomedical Engineering, Computational Biology, AI/ML, or a closely related field. Demonstrated Expertise in one or more of the following areas: Bio and AI: Theoretical and computational biophysics Machine learning and data analysis for biological systems Biomedical imaging and signal processing Molecular modeling and simulations AI applications in bioinformatics or health sciences Physics and AI: Physics-Informed Machine Learning (PIML):  Physics-informed neural networks, with applications to Fluid dynamics, plasma physics, elasticity, weather modeling AI for Scientific Discovery in Physics with applications to  Material discovery and quantum chemistry - Gen AI designing materials with target properties Astrophysics and cosmology: Deep learning for telescope image analysis, gravitational wave detection, dark matter inference Foundational and Theoretical Intersections i.e.  Statistical mechanics of learning -  Understanding generalization, loss landscapes, and over-parameterization using physics analogies or Information theory and thermodynamics of computation: Energy limits, entropy, physical cost of learning Quantum Machine Learning (QML) at the intersection of quantum computing and artificial intelligence Proven teaching experience at the undergraduate or graduate level (or equivalent professional training experience): Proven teaching or research supervision experience at the undergraduate or graduate level Strong commitment to interdisciplinary education and innovative pedagogy Preferred Qualifications Research or industry experience applying AI to biological/biomedical challenges OR Physics informed AI Experience with Python, MATLAB, Pytorch, or other scientific computing tools of the area Track record of mentoring students in cross-disciplinary or project-based learning Application Instructions To apply for this position, please submit the following:     Cover letter                                                     Curriculum Vitae Teaching statement                                                     Reference letters or Name and contact details for three referees MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.  Be a part of AI’s future – apply today at MBZUAI! #MBZUAI #careeropportunities #AI Equal Employment Opportunity Statement Mohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skills that are relevant to industry demands while working on research projects in SIT.  The primary responsibility of this role is to contribute to an applied research project related to AI-assisted speech therapy in collaboration with hospital partners. Key Responsibilities: Model Development: Design, train, and fine-tune ASR and TTS models to achieve high accuracy and personalization across diverse speech patterns and impairments. Data Management: Oversee data collection and preprocessing in collaboration with healthcare partners to ensure quality, diversity, and clinical relevance. System Integration: Export and deploy models for real-time use on mobile and web platforms, and work with developers to ensure seamless integration. Tooling and Automation: Develop pipelines and utilities to support data processing, model training, evaluation, and continuous improvement. Collaboration and Knowledge Transfer: Document technical processes, contribute to multidisciplinary teamwork, and guide students in applied research and system development. Job Requirements: Educational Background  Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Master’s degree is preferred. ASR/TTS Expertise Experience in training and fine-tuning Automatic Speech Recognition (ASR) or Text-to-Speech (TTS) models, preferably in multilingual or speech impairment contexts. Programming Skills Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience with web development (e.g., FastAPI, Flask, or React) is a plus.  Data Handling Familiarity with speech data collection, preprocessing, and management to ensure quality and ethical data use. Deployment Knowledge Experience exporting and deploying models on cloud or cross-platform environments. Collaboration and Communication Strong teamwork, documentation, and communication skills to work effectively with multidisciplinary teams and healthcare partners.