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- Tasks: Join us to develop cutting-edge solutions in Data and Text Analytics.
- Company: Be part of Sheffield University's Advanced Computing Research Centre, a hub for innovation.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and collaboration.
- Why this job: Make an impact by working on real-world projects with diverse clients, from startups to global giants.
- Qualifications: Postgraduate qualification in Data Science or related fields and strong programming skills required.
- Other info: This is a fixed-term position for 12 months, perfect for gaining valuable experience.
The predicted salary is between 30000 - 50000 £ per year.
Sheffield University’s Advanced Computing Research Centre (ACRC) seeks to recruit a Research Developer to undertake work on the areas of Data and Text Analytics. The post holder will work on both research and industrially driven development projects for the ACRC’s clients. The ACRC is an industry-facing research centre that provides opportunities for companies to develop innovative products and services by exploiting the knowledge base of Sheffield University in the key areas of Analytics, Software Quality and Large Scale Simulation. The ACRC is dedicated to working with businesses in all areas where digital technology is a business-critical aspect, from Global Giants to Small to Medium Enterprises (SMEs).
The post holder will report to the Directors of the ACRC and will have a postgraduate qualification with significant emphasis on Data Science, Machine Learning and/or Natural Language Processing.
The post holder will also have strong programming skills, preferably in Java, C, Perl or Python, and the ability to create software solutions.
The post is fixed-term for 12 months.
Research Developer in Data and Text Analytics employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Developer in Data and Text Analytics
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in Data Science, Machine Learning, and Natural Language Processing. This will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the Sheffield University community and the ACRC by attending relevant seminars or workshops. Networking with current researchers and developers can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your programming skills through personal projects or contributions to open-source software. Highlighting your proficiency in Java, C, Perl, or Python can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss real-world applications of data and text analytics in various industries. Being able to articulate how your skills can solve practical problems for clients will make a strong impression during interviews.
We think you need these skills to ace Research Developer in Data and Text Analytics
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and qualifications required for the Research Developer position. Highlight your relevant experience in Data Science, Machine Learning, and Natural Language Processing.
Tailor Your CV: Customise your CV to reflect your programming skills in Java, C, Perl, or Python. Include specific projects or experiences that demonstrate your ability to create software solutions relevant to data and text analytics.
Craft a Compelling Cover Letter: Write a cover letter that connects your background and skills to the needs of the ACRC. Mention your postgraduate qualification and any relevant projects you've worked on that align with their focus on analytics and software quality.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your writing is clear and professional, as this reflects your attention to detail and communication skills.
How to prepare for a job interview at NLP PEOPLE
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in languages like Java, C, Perl, or Python. Be prepared to discuss specific projects where you've applied these skills, especially in Data Science, Machine Learning, or Natural Language Processing.
✨Demonstrate Your Research Experience
Since the role involves both research and industrial projects, be ready to talk about your previous research experiences. Discuss any relevant projects you've worked on, focusing on how they relate to data and text analytics.
✨Understand the ACRC's Mission
Familiarise yourself with the Advanced Computing Research Centre's goals and the types of clients they work with. This will help you tailor your answers to show how your skills and experiences align with their mission.
✨Prepare Questions for the Interviewers
Have a few insightful questions ready to ask the interviewers. This shows your interest in the role and helps you understand more about the projects you'll be working on and the team dynamics.
