Lancaster University Education Jobs in Accra
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Transnational Academic Group, in partnership with Lancaster University UK, delivers British undergraduate, postgraduate and foundation programmes at its campus in Ghana.
Why Us? Because Values Matter
We are a university of global significance, but our strength lies in the principles that define us. When you join us, you become part of a culture that:
- Pursues Excellence – We set high standards in education and recruitment, ensuring every interaction reflects quality.
- Inclusive Community: Celebrating diversity and using language as a bridge to connect.
- Teamwork: Collaborating across various teams to shape student experiences.
- Ethical Operations: Acting with integrity, transparency, and fairness.
- Innovation: Encouraging and expecting bold ideas in outreach.
- Employee Growth: Investing in people through mentorship, training, and career advancement.
- Meaningful Impact: Creating both global and local change by building the next generation of African leaders.
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The Role
- Delivering lectures, tutorials, and lab sessions in Artificial Intelligence, Robotics, and related areas.
- Contributing to curriculum development and review to ensure alignment with industry trends and academic excellence.
- Supervising student projects and providing mentorship and academic guidance.
- Conducting practical workshops on new and emerging technologies to enhance student learning.
- Supporting departmental efforts aimed at student engagement, applied research, and innovation.
- Collaborating with colleagues across departments to promote interdisciplinary teaching and learning.
Required Skills or Experience
Qualification and Experience
- A Bachelor’s degree in Computer Science, Information Technology, Artificial Intelligence, Robotics Engineering, or Data Science.
- An MPhil/MSc in Computer Science, IT, AI, Robotics Engineering, or Data Science.
- Proficiency in Python, C++, or other high-level programming languages.
- Familiarity with:
- Microcontrollers (Arduino, Raspberry Pi, ESP32)
- AI tools (TensorFlow, PyTorch, OpenCV)
- IoT systems and sensor integration
- Blockchain fundamentals
- 3D Printing and CAD design basics
- Machine Learning concepts and simple model deployment
- Knowledge of AI ethics, governance, and responsible innovation.
- Awareness of current trends such as Generative AI, robotics in healthcare, and industrial automation.
- Understanding of safety standards and ethical handling of emerging technologies.
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