Lecturer/Senior Lecturer in Neurosymbolic Artificial Intelligence

Lecturer/Senior Lecturer in Neurosymbolic Artificial Intelligence

Full-Time 127947 - 178290 £ / year (est.) No working from home possible
UNSW

At a Glance

  • Tasks: Teach and research in Neurosymbolic AI, shaping future AI innovators.
  • Company: Join UNSW, a leading university in Sydney with a focus on innovation.
  • Benefits: Competitive salary, 17% superannuation, and opportunities for professional growth.
  • Other info: Inclusive environment welcoming diverse backgrounds and promoting equity.
  • Why this job: Make a real impact in AI research and education while inspiring students.
  • Qualifications: PhD in a related field and experience in teaching and research.

The predicted salary is between 127947 - 178290 £ per year.

Salary: Lecturer (Level B) – AUD $127,947 to $150,830 per annum + 17% superannuation. Senior Lecturer (Level C) – AUD $155,403 to $178,290 per annum + 17% superannuation.

Full-time 2-Year Convertible Tenure Track or continuing appointment. Location: Kensington – Sydney, Australia.

Role Overview: Join the School of Computer Science and Engineering in the Faculty of Engineering at UNSW as a Lecturer / Senior Lecturer in a Teaching and Research role. In this role, you will contribute to the advancement of research and education in Neurosymbolic Artificial Intelligence, while helping to shape the next generation of AI researchers and practitioners. You will conduct research in areas such as the integration of machine learning and symbolic reasoning to address complex and structured problems, and the development of robust and interpretable AI systems that advance the integration of learning and reasoning paradigms, contributing to high-impact research outcomes and the School’s growing research profile.

Responsibilities:

  • Deliver high-quality teaching and support student learning across undergraduate and postgraduate courses.
  • Conduct research in Neurosymbolic Artificial Intelligence, integrating machine learning and symbolic reasoning, and publish in high-impact venues.
  • Participate in curriculum development, grant writing, and supervise doctoral and postgraduate research projects.

About You: You are an emerging or established academic with a strong foundation in Neurosymbolic Artificial Intelligence, with the ability to contribute to high-quality research and teaching. You bring expertise in areas such as machine learning and symbolic reasoning integration, knowledge representation, reasoning under uncertainty, and interpretable AI, and demonstrate the potential to build a strong research profile.

At Lecturer level (Level B), you will be developing your research profile and contributing to collaborative research activities, including competitive grant applications and scholarly publications, while also delivering high-quality teaching and supporting student learning across undergraduate and postgraduate courses. At Senior Lecturer level (Level C), you will demonstrate an established research track record with evidence of research leadership, success in securing competitive funding, supervising HDR students, and making significant independent contributions to your field. You will also contribute to educational leadership through high-quality teaching, curriculum development, and mentoring students and colleagues.

Skills & Experience:

  • Lecturer (Level B): A PhD in a related discipline, and/or relevant work experience. Proven commitment to proactively keeping up to date with discipline knowledge and developments. Demonstrated experience in teaching and learning design, development and delivery at undergraduate and/or postgraduate level. Experience using and/or designing with educational technologies and online delivery methods. Evidence of teaching effectiveness and passion for educational excellence. Demonstrated knowledge of industry or experience of work-integrated learning (desirable). Evidence of ability to support and inspire students from diverse backgrounds and support student equity, diversity and inclusion initiatives.
  • Senior Lecturer (Level C): A PhD in a related discipline, and/or relevant work experience. Proven commitment to proactively keeping up to date with discipline knowledge and developments. Demonstrated experience in teaching and learning design using a range of pedagogical approaches, development and delivery of courses and programs, at undergraduate and/or postgraduate level. Experience of implementing educational technologies and online delivery methods. Evidence of teaching effectiveness and passion for educational excellence and fostering this in others. Demonstrated success in initiating curriculum development and improvement. Demonstrated experience with industry or work-integrated learning. Evidence of ability to support and inspire students from diverse backgrounds and support student equity diversity and inclusion initiatives. Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership. Experience in successfully recruiting and supervising high calibre students. Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships. Evidence of highly developed interpersonal and organisational skills. Demonstrated ability to interact with the profession and industry and attract funding for learning and teaching initiatives. An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines. Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

Equal Opportunity Statement: UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.

Lecturer/Senior Lecturer in Neurosymbolic Artificial Intelligence employer: UNSW

UNSW is an exceptional employer that fosters a vibrant academic environment in the heart of Sydney, offering competitive salaries and generous superannuation. With a strong commitment to research excellence and educational leadership, employees benefit from collaborative opportunities, professional development, and a culture that values diversity and inclusion. The university's focus on innovative teaching methods and cutting-edge research in Neurosymbolic Artificial Intelligence ensures that staff can make meaningful contributions while shaping the future of AI education.

UNSW

Contact Details:

UNSW Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lecturer/Senior Lecturer in Neurosymbolic Artificial Intelligence

Tip Number 1

Network like a pro! Reach out to your connections in the field of Neurosymbolic AI. Attend conferences, workshops, or even local meetups. You never know who might have a lead on that perfect job!

Tip Number 2

Show off your expertise! Create a personal website or blog where you can share your research, insights, and teaching philosophy. This not only showcases your skills but also makes you more memorable to potential employers.

Tip Number 3

Prepare for interviews by practising common questions related to teaching and research in AI. Think about how you can demonstrate your passion for education and your vision for contributing to the field.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!

We think you need these skills to ace Lecturer/Senior Lecturer in Neurosymbolic Artificial Intelligence

Neurosymbolic Artificial Intelligence
Machine Learning
Symbolic Reasoning Integration
Knowledge Representation
Reasoning Under Uncertainty
Interpretable AI
Teaching and Learning Design

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in Neurosymbolic Artificial Intelligence. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant research and teaching experiences!

Show Your Passion for Teaching:In your application, let us know about your teaching philosophy and any innovative methods you've used. We’re keen on candidates who can deliver high-quality education and inspire students, so share examples of how you’ve done this in the past.

Highlight Research Achievements:Don’t forget to mention your research contributions! Whether it’s publications, grants, or collaborative projects, we want to see evidence of your impact in the field. This is your chance to shine a light on your academic journey.

Apply Through Our Website:We encourage you to submit your application through our official website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need to make your submission smooth and straightforward!

How to prepare for a job interview at UNSW

Know Your Stuff

Make sure you have a solid understanding of Neurosymbolic Artificial Intelligence and its applications. Brush up on recent research, especially in machine learning and symbolic reasoning, as this will show your passion and expertise during the interview.

Showcase Your Teaching Skills

Prepare to discuss your teaching philosophy and experiences. Think about specific examples where you've successfully engaged students or developed innovative curriculum designs. This is crucial for a role that involves high-quality teaching.

Research Readiness

Be ready to talk about your research agenda and how it aligns with the university's goals. Highlight any past successes in securing funding or publishing in high-impact venues, as this demonstrates your capability to contribute to their research profile.

Cultural Fit

Understand UNSW’s commitment to diversity and inclusion. Be prepared to discuss how you can support students from diverse backgrounds and contribute to an inclusive environment. This shows that you align with their values and are ready to make a positive impact.