Overview
Adjunct Instructor – Dynamics of Engineering Systems (MECH321) Jobs in Dubai at University of Wollongong in Dubai
Established in 1951 and ranked in the top 1% of universities worldwide*, Australia’s University of Wollongong is a global brand with international campuses in Dubai, Hong Kong and Malaysia.
University of Wollongong Dubai (UOWD) offers over 40 internationally recognised bachelor and master degrees spanning 10 in-demand industry sectors. All of our degree courses are accredited by the UAE Ministry of Education’s Commission for Academic Accreditation (CAA) and licensed by Dubai’s Knowledge and Human Development Authority (KHDA), as well as being recognised by leading professional organisations such as AACSB, ACCA, ACS, CIM, CIPD, CPA, Engineers Australia, PMI, and others.
The first internationally accredited Australian university in the UAE, we are the education gateway of choice for over 3,500 students, representing 100+ nationalities. Our global community of 152,000 alumni are pursuing career goals with respected blue-chip companies and industry giants such as 3M, ADCB, Adidas, Amazon, Deloitte, Emirates, FedEx, GE, IBM, Microsoft and Pepsico. Additionally, research reveals that 83%** of fresh graduates are employed within six months of graduation.
Life at UOWD is rooted in the continued pursuit of excellence through teaching, research and industry engagement, with the student experience at its heart. Our 200,000-square-foot campus at Dubai Knowledge Park features access to cutting-edge technologies and a mix of traditional and innovative learning spaces, all housed in a vibrant modern setting that promises to deliver an enriched learning experience for our students. Located strategically near the Palm and the Burj Khalifa, the University benefits from the huge investment and innovation opportunities the city is known for globally.
- QS World University Rankings 2024
**Data from the Graduate Destination Survey 2017 to 2021
About the Role
The University of Wollongong in Dubai (UOWD) is seeking experienced academics and industry professionals to join the School of Engineering as Adjunct Instructors in the area of Dynamics of Engineering Systems.
This opportunity is ideal for educators and practitioners who are passionate about teaching modern engineering systems, control principles, modelling, simulation, and dynamic analysis to future mechanical engineers.
The successful candidate will deliver undergraduate teaching in MECH321 – Dynamics of Engineering Systems, a core Mechanical Engineering subject that develops students’ ability to model, analyse, and evaluate the behaviour of complex engineering systems.
About the Subject
MECH321 – Dynamics of Engineering Systems introduces students to the modelling and analysis of dynamic engineering systems across multiple domains, including mechanical, electrical, thermal, and fluid systems. Students develop mathematical models, analyse system behaviour in both time and frequency domains, and evaluate system performance through simulation and experimental investigation.
Key topics include:
-
System modelling using differential equations
-
Laplace transforms and transfer functions
-
Block diagram representation
-
Mechanical, electrical, thermal, and fluid system modelling
-
Time-domain and frequency-domain analysis
-
System response and dynamic behaviour
-
MATLAB-based simulation techniques
-
Linear system analysis
-
Experimental system identification and evaluation
Key Teaching Responsibilities
-
Key Responsibilities
-
Deliver tutorials and laboratory classes
-
Support student learning through explanations, demonstrations, and guided problem‑solving
-
Facilitate problem-solving and engineering analysis workshops
-
Guide students in mathematical modelling and simulation of engineering systems
-
Support laboratory and practical activities involving dynamic system response and evaluation
-
Assist with assessment activities including marking and feedback, in line with subject requirements
-
Foster critical thinking and application of engineering principles to real-world systems
-
Ensure safe laboratory practices and adherence to university policies
-
Collaborate with the subject coordinator and teaching team
-
The candidate is expected to work in accordance with the course curriculum and teaching plans, as well as take attendance and be involved in marking.
-
Offer consultation times to students outside of classroom hours
-
Liaise with subject coordinator before, during and at the end of the semester session
-
Complete grading of student work in a timely fashion, using clear rubrics, and with constructive feedback-
-
Input the grades into the student interface software (SMP), and complete subject report for the end of semester (training will be provided)-
-
Manage the acquisition of necessary supplies
-
Experience in using innovative approaches to teaching is also desirable.
Selection criteria – Qualifications, Education, Experience, Knowledge and Skills
Essential:
-
Master’s degree or higher in:
Mechanical Engineering
Mechatronics Engineering
Systems Engineering
Control Engineering
Aerospace Engineering
Or a closely related discipline
2. Demonstrated expertise in one or more of the following areas:
Dynamic Systems
Control Systems
Mechanical Vibrations
Modelling and Simulation
System Dynamics
Mechatronics
Engineering Mathematics
MATLAB and engineering analysis software
3. Previous university-level teaching, tutoring, laboratory instruction, or professional training experience
4. Strong communication and student engagement skills
Desirable Attributes
-
PhD in a relevant engineering discipline
-
Industry experience in automation, manufacturing, mechatronics, control systems, aerospace, robotics, or systems engineering
-
Experience using MATLAB, Simulink, or equivalent modelling platforms
-
Experience teaching engineering modelling, simulation, or control systems subjects
-
Familiarity with outcomes-based engineering education and accreditation standards
Title: Adjunct Instructor – Dynamics of Engineering Systems (MECH321)
Company: University of Wollongong in Dubai
Location: Dubai