Adjunct Tutors – Engineering Mathematics & Statistics

About UOWD

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 Support Future Engineers Through Mathematics and Applied Analytics

The University of Wollongong in Dubai (UOWD) is seeking qualified and engaging Adjunct Tutors to support undergraduate teaching within the School of Engineering for Autumn 2026 starting from 21 Sep 2026.

We are building a pool of adjunct tutors to deliver tutorials, workshops, and academic support in the following subjects:

Available Subjects

• MATH042 - Elements of Engineering Mathematics
• STAT040 - Introduction to Statistics
• MATH291 - Differential Equations

These subjects provide essential mathematical and analytical foundations for students progressing through Engineering, Computer Science, Information Technology, and related disciplines.

About the Subjects

Elements of Engineering Mathematics (MATH042)

Students develop core mathematical skills required for engineering studies, including algebra, functions, trigonometry, limits, and introductory calculus concepts.

Introduction to Statistics (STAT040)

Students learn fundamental statistical concepts, data visualisation, probability, business applications of statistics, and introductory data science using tools such as Excel and Orange.

Differential Equations (MATH291)

Students explore advanced engineering mathematics topics, including multivariable differentiation, multiple integration, Laplace transforms, Fourier series, and engineering applications of differential equations.

Key Teaching Responsibilities* Adjunct Tutors will:

+ Deliver tutorials and problem\-solving workshops
+ Facilitate student learning through applied exercises and guided practice
+ Support students in developing mathematical and analytical reasoning skills
+ Explain complex quantitative concepts in a clear and accessible manner
+ Assist with assessment support, consultation, and student engagement activities
+ Work collaboratively with subject coordinators and academic staff

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:

• We are seeking candidates who combine strong disciplinary knowledge with a genuine passion for teaching and student success.

✅ Master's degree or higher in one of the following areas:

+ Mathematics
+ Applied Mathematics
+ Statistics
+ Data Science
+ Engineering

✅ Demonstrated expertise in one or more of the following areas:

+ Engineering Mathematics
+ Calculus
+ Algebra and Trigonometry
+ Differential Equations
+ Statistics and Probability
+ Data Analysis
+ Quantitative Methods
+ Applied Engineering Mathematics

✅ Strong communication and presentation skills

✅ Ability to teach and support diverse cohorts of undergraduate students

Desirable Attributes

• Previous university tutoring, teaching assistant, lecturer, or academic support experience
• Experience teaching engineering or foundation mathematics
• Industry experience involving quantitative analysis, engineering, modelling, or data analytics
• Familiarity with MATLAB, Excel, Python, Orange Data Mining, or related analytical tools