Associate Professor in Machine Learning and Natural Language Processing (Social Media Analytics) in Bristol

Associate Professor in Machine Learning and Natural Language Processing (Social Media Analytics) in Bristol

Bristol Full-Time 185917 - 204218 £ / year (est.) No working from home possible
UNSW

At a Glance

  • Tasks: Lead innovative research in AI and NLP, shaping the future of social media analytics.
  • Company: Join UNSW, a world-leading institution in Computer Science with cutting-edge facilities.
  • Benefits: Competitive salary, 17% superannuation, and opportunities for career growth.
  • Other info: Collaborative environment with strong industry partnerships and a commitment to diversity.
  • Why this job: Make a real impact in AI while mentoring the next generation of researchers.
  • Qualifications: PhD in a related field and proven research leadership in AI and NLP.

The predicted salary is between 185917 - 204218 £ per year.

This position is based in Australia. The opportunity is to join the School of Computer Science and Engineering in the Faculty of Engineering at UNSW as an Associate Professor in a Teaching and Research role. As an Associate Professor, you will be a senior academic leader at one of Australia’s premier computer science schools, contributing to and shaping the strategic direction of research and education in Artificial Intelligence and Natural Language Processing.

You will drive high-impact research with national and international visibility across areas such as large language models, social media analytics, and the application of AI and NLP to understanding and improving online information ecosystems, including social media platforms and digital communication environments. You will play a key role in advancing the School’s research profile, industry engagement, and educational excellence.

With established strengths in machine learning, large language models, data science, cybersecurity, and distributed systems, UNSW offers an exceptional environment for ambitious academics who are ready to lead innovative programs, mentor emerging researchers, and contribute to institutional strategy, governance, and interdisciplinary collaboration. You will help advance the future of intelligent, trustworthy, and responsible AI systems.

This is an opportunity to join a global leader in Computer Science, with cutting-edge facilities, world-class faculty, and an innovative research environment. With strong industry partnerships and a commitment to sustainability, UNSW provides unparalleled opportunities for leadership, collaboration, and impact.

About You

You are an established academic with a strong and sustained track record of high-impact research in Artificial Intelligence and Natural Language Processing, and a growing national or international reputation in your field. You bring expertise in areas such as large language models, social media analytics, model alignment, and interpretability, with an interest in applying these to real-world challenges in online information ecosystems and demonstrate the ability to translate research into real-world impact.

With a proven ability to secure competitive research funding, lead research initiatives, and supervise higher degree research students to successful completion, you are also an engaging and effective educator, with experience delivering high-quality teaching and contributing to curriculum development. As a senior academic, you will demonstrate clear leadership within your discipline, including contributing to strategic initiatives, academic governance, or program development. You are collaborative, forward-thinking, and motivated to build strong partnerships across academia and industry.

Skills & Experience

  • 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 experience with industry or work-integrated learning.
  • Evidence of professional development of teaching practice in self and others with the ability to advance and lead an inclusive culture of excellence in learning and teaching.
  • Demonstrated success in initiating curriculum development and improvement.
  • Evidence of highly developed interpersonal and organisational skills.
  • Evidence of ability to support and inspire students from diverse backgrounds and support student equity diversity and inclusion initiatives.
  • Significant track record in research leadership with outcomes of high quality and high international impact with clear evidence of the desire and ability to continually achieve research excellence and deliver research leadership.
  • Excellent record of recruiting and supervising high calibre students.
  • Demonstrated leadership in building engagement and partnerships with the profession and industry.
  • 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.

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.

Associate Professor in Machine Learning and Natural Language Processing (Social Media Analytics) in Bristol employer: UNSW

UNSW is an exceptional employer, offering a vibrant and innovative work culture that fosters academic excellence and collaboration. As an Associate Professor in Machine Learning and Natural Language Processing, you will have access to cutting-edge facilities and strong industry partnerships, providing unparalleled opportunities for research leadership and professional growth in the heart of Sydney. The university's commitment to diversity, equity, and inclusion ensures a supportive environment where your contributions can make a meaningful impact on both students and the wider community.

UNSW

Contact Details:

UNSW Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Associate Professor in Machine Learning and Natural Language Processing (Social Media Analytics) in Bristol

Tip Number 1

Network like a pro! Reach out to your connections in academia and industry. Attend conferences, workshops, or even local meetups related to AI and NLP. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your expertise! Prepare a portfolio showcasing your research, publications, and any projects you've led. This is your chance to demonstrate your impact in the field of machine learning and social media analytics. Make it visually appealing and easy to digest!

Tip Number 3

Practice your pitch! When you get that interview, be ready to articulate your vision for the role and how you can contribute to UNSW's goals. Think about how your experience aligns with their mission and be prepared to discuss your ideas for future research.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about the opportunity. Don’t forget to tailor your CV and cover letter to highlight your fit for the Associate Professor role!

We think you need these skills to ace Associate Professor in Machine Learning and Natural Language Processing (Social Media Analytics) in Bristol

Machine Learning
Natural Language Processing
Social Media Analytics
Large Language Models
Model Alignment
Interpretability
Research Leadership

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to highlight your experience in Machine Learning and Natural Language Processing. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about this position and how your background makes you the perfect fit. Be genuine and let your personality come through.

Address the Skills and Experience Criteria:Don’t skip this part! Make sure to respond to the Skills and Experience criteria outlined in the job description. We’re looking for specific examples that demonstrate your expertise and leadership in the field.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss any important updates. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at UNSW

Know Your Stuff

Make sure you’re well-versed in the latest trends and research in Machine Learning and Natural Language Processing, especially as they relate to social media analytics. Brush up on large language models and their applications, as well as any recent breakthroughs in the field.

Showcase Your Teaching Skills

Prepare to discuss your teaching philosophy and experiences. Be ready to share examples of how you've engaged students and developed curriculum. Highlight any innovative teaching methods or technologies you've implemented to enhance learning.

Demonstrate Leadership Experience

As a senior academic, you’ll need to show your leadership capabilities. Think of specific instances where you’ve led research initiatives or collaborated with industry partners. Be prepared to discuss how you can contribute to the strategic direction of the School.

Engage with the Interviewers

Interviews are a two-way street! Prepare thoughtful questions about the role, the department's goals, and how you can contribute. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.