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, superannuation, and opportunities for professional growth.
- Other info: Inclusive environment welcoming diverse backgrounds and perspectives.
- Why this job: Make a real impact in AI research and education while advancing your career.
- 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 in Edinburgh employer: UNSW
UNSW is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the field of Neurosymbolic Artificial Intelligence. With a strong commitment to research excellence and high-quality teaching, employees benefit from generous remuneration packages, professional development opportunities, and a supportive environment that values diversity and inclusion. Located in vibrant Kensington, Sydney, staff enjoy access to world-class facilities and a dynamic academic community dedicated to shaping the future of AI education and research.
StudySmarter Expert Advice🤫
We think this is how you could land Lecturer/Senior Lecturer in Neurosymbolic Artificial Intelligence in Edinburgh
✨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! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lecturer/Senior Lecturer in Neurosymbolic Artificial Intelligence in Edinburgh
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your experience in Neurosymbolic Artificial Intelligence and how it aligns with UNSW's goals. We want to see how you can contribute to our teaching and research!
Showcase Your Teaching Experience:Don’t forget to include details about your teaching philosophy and any innovative methods you've used. We’re keen on candidates who can deliver high-quality education, so share examples of your success in engaging students.
Highlight Research Achievements:Be sure to mention your research projects, publications, and any funding you've secured. We love seeing a strong research profile, so let us know how you've made an impact in your field!
Apply Through Our Website:For the best chance of success, make sure to submit your application through our official website. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at UNSW
✨Know Your Neurosymbolic AI Stuff
Make sure you brush up on the latest trends and research in Neurosymbolic Artificial Intelligence. Be ready to discuss how you can integrate machine learning with symbolic reasoning, as this will show your depth of knowledge and passion for the field.
✨Show Off Your Teaching Skills
Prepare examples of your teaching experiences and how you've engaged students in both undergraduate and postgraduate settings. Highlight any innovative teaching methods or technologies you've used, as this will demonstrate your commitment to educational excellence.
✨Research is Key
Be prepared to talk about your research track record and any high-impact publications. Discuss your experience with grant writing and how you plan to contribute to collaborative research initiatives at UNSW, as this will showcase your potential for research leadership.
✨Emphasise Diversity and Inclusion
UNSW values a diverse community, so be ready to share how you've supported students from various backgrounds. Discuss any initiatives you've been involved in that promote equity and inclusion, as this aligns with the university's mission and values.