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- Tasks: Join a cutting-edge project developing models for multilingual lexical and semantic learning.
- Company: Be part of the prestigious University of Cambridge, renowned for its research excellence.
- Benefits: Enjoy a three-year contract with opportunities for collaboration and professional growth.
- Why this job: Contribute to impactful NLP applications while working in a dynamic, innovative environment.
- Qualifications: Ph.D. in computational linguistics or related fields with strong research and programming skills required.
- Other info: Ideal for those passionate about machine learning and language technology.
The predicted salary is between 36000 - 60000 £ per year.
Applications are invited for a three-year Research Associate post on the project LEXICAL: Lexical Acquisition across Languages. The project is funded by the European Research Council (ERC) in the form of a Consolidator Grant awarded to Anna Korhonen. The aim is to develop a novel computational modeling framework for learning and transferring lexical and semantic information across languages without the need for parallel resources. The project will cover a variety of typologically diverse languages and language domains and will demonstrate the usefulness for NLP applications such as machine translation.
Responsibilities of the successful candidate include research into novel techniques for learning lexical and semantic information from multilingual text data, drawing from recent advances in the areas of lexical acquisition, computational semantics, multilingual NLP and machine learning (in particular, deep learning and joint learning and inference). The post holder will also take part in performance evaluation, and dissemination of research findings.
Company:
University of Cambridge
Qualifications:
The successful applicant will have completed a Ph.D. degree in computational linguistics, artificial intelligence, machine learning, computer science, or a related discipline and will be able to demonstrate an excellent track record of independent research and strong publications. Essential skills include: excellent programming skills, statistical natural language processing techniques, machine learning, as well as proven collaborative/communication/networking skills. Previous experience with deep learning and/or joint learning and inference may be considered an advantage.
Specific requirements:
Duration: 3 years
Educational level:
Ph. D.
How to apply:
Please mention NLP People as a source when applying
http://www.jobs.cam.ac.uk/job/10073/
Tagged as: Academia, Computational Linguistics, Machine Translation, Natural Language Processing, NLP, Ph. D., United Kingdom
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Post-doctoral Research Associate employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Post-doctoral Research Associate
✨Tip Number 1
Network with professionals in the field of computational linguistics and NLP. Attend relevant conferences or workshops where you can meet researchers and practitioners, as personal connections can often lead to job opportunities.
✨Tip Number 2
Engage with the latest research and developments in multilingual NLP and machine learning. Follow key publications and authors in the field to stay updated, which will help you during interviews when discussing current trends and techniques.
✨Tip Number 3
Showcase your programming skills by contributing to open-source projects related to NLP or machine learning. This not only enhances your portfolio but also demonstrates your ability to collaborate and contribute to the community.
✨Tip Number 4
Prepare for potential interviews by practising explaining complex concepts in simple terms. Being able to communicate your research effectively is crucial, especially in a collaborative environment like the one at the University of Cambridge.
We think you need these skills to ace Post-doctoral Research Associate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Ph.D. and relevant research experience in computational linguistics, machine learning, and NLP. Emphasise any publications and projects that align with the LEXICAL project.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the project and how your skills and experiences make you a perfect fit. Mention specific techniques or methodologies you have worked with that relate to lexical acquisition and multilingual NLP.
Highlight Collaborative Skills: Since the role requires strong collaborative and communication skills, provide examples of past teamwork experiences. Discuss how you contributed to group projects or research initiatives, especially in an academic setting.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for clarity, grammar, and spelling errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at NLP PEOPLE
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight any independent work you've done, especially in computational linguistics or machine learning, and be ready to explain how it relates to the LEXICAL project.
✨Demonstrate Technical Proficiency
Make sure to brush up on your programming skills and be ready to discuss specific statistical NLP techniques you’ve used. If you have experience with deep learning frameworks, mention them and provide examples of how you've applied them in your work.
✨Prepare for Collaborative Scenarios
Since collaboration is key in this role, think of examples where you've successfully worked in a team. Be ready to discuss how you communicate complex ideas and how you handle feedback from peers.
✨Understand the Project's Goals
Familiarise yourself with the aims of the LEXICAL project and the significance of transferring lexical and semantic information across languages. This will show your genuine interest and help you align your answers with the project's objectives during the interview.
