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- Tasks: Join a team to research NLP and text mining for cancer mechanisms.
- Company: Be part of the University of Manchester, a leader in computer science.
- Benefits: Enjoy a 24-month post with potential extension and collaborative research opportunities.
- Why this job: Contribute to impactful cancer research while advancing your NLP skills in a supportive environment.
- Qualifications: Strong NLP background, Java skills, and experience with text mining algorithms required.
- Other info: Immediate start available; mention NLP People when applying.
The predicted salary is between 36000 - 60000 £ per year.
Applications are invited for one postdoctoral position in Natural Language Processing and Text Mining at the National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester to work with Prof. Sophia Ananiadou. The candidate will be joining a team working on a DARPA-funded project concerned with the Big Cancer Mechanism initiative. The objectives of the post are to conduct research into extracting facts/events from the scientific literature and clinical case reports using adaptive text mining, semantic parsing and co-reference.
Qualifications:
- Candidates are expected to have a very strong background in Natural Language Processing, in particular using weakly supervised methods.
- Excellent knowledge in developing and adapting algorithms and software for text mining systems.
- A strong track record of high-quality papers in conferences such as ACL, EMNLP, Coling, etc., is highly desirable.
- Strong Java skills, knowledge of UIMA and RDF/SPARQL are essential.
Specific requirements:
- Duration of post: available immediately for 24 months with possibility of extension.
How to apply:
Please mention NLP People as a source when applying.
Postdoctoral position in NLP/Text Mining employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral position in NLP/Text Mining
✨Tip Number 1
Make sure to showcase your research experience in Natural Language Processing and Text Mining during any networking opportunities. Attend relevant conferences or workshops where you can meet professionals in the field, including those from the University of Manchester.
✨Tip Number 2
Engage with the academic community by following and interacting with researchers like Prof. Sophia Ananiadou on social media platforms such as Twitter or LinkedIn. This can help you stay updated on their work and potentially open doors for informal discussions about the position.
✨Tip Number 3
Consider collaborating on projects or publications that align with the objectives of the DARPA-funded initiative. This not only strengthens your CV but also demonstrates your commitment and understanding of the specific challenges in extracting facts from scientific literature.
✨Tip Number 4
Prepare to discuss your technical skills in Java, UIMA, and RDF/SPARQL during interviews. Be ready to provide examples of how you've applied these skills in previous projects, as this will be crucial in demonstrating your fit for the role.
We think you need these skills to ace Postdoctoral position in NLP/Text Mining
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the requirements of the postdoctoral position in NLP/Text Mining. Familiarise yourself with the specific skills needed, such as weakly supervised methods and Java programming.
Tailor Your CV: Craft your CV to highlight your relevant experience in Natural Language Processing and text mining. Emphasise any projects or research that align with the objectives of the DARPA-funded project mentioned in the job description.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the position and how your background fits the role. Mention your experience with adaptive text mining and any high-quality papers you've published in relevant conferences.
Follow Application Instructions: When submitting your application, ensure you mention 'NLP People' as a source, as specified in the job description. Double-check that all required documents are included and formatted correctly before submission.
How to prepare for a job interview at NLP PEOPLE
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to Natural Language Processing and Text Mining. Highlight any specific methodologies you used, particularly weakly supervised methods, and be ready to explain how they contributed to your findings.
✨Demonstrate Technical Proficiency
Make sure to brush up on your Java skills and be familiar with UIMA and RDF/SPARQL. You might be asked to solve a technical problem or discuss how you would approach developing algorithms for text mining systems, so having practical examples ready will help.
✨Prepare for Questions on Recent Literature
Since the role involves extracting facts from scientific literature, be prepared to discuss recent advancements in NLP and Text Mining. Familiarise yourself with high-quality papers from conferences like ACL and EMNLP, as this will demonstrate your engagement with the field.
✨Express Enthusiasm for the Project
Show genuine interest in the DARPA-funded project and the Big Cancer Mechanism initiative. Research the project's goals and be ready to discuss how your skills and experiences align with their objectives, which will reflect your commitment to contributing to the team's success.
