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- Tasks: Join our team to innovate in Statistical Machine Translation and develop cutting-edge language models.
- Company: Be part of the University of Edinburgh, a leading institution in research and innovation.
- Benefits: Enjoy a competitive salary, potential for extension, and collaboration with EU partners.
- Why this job: Work on impactful projects that shape the future of machine translation and AI technology.
- Qualifications: PhD or near completion in Computer Science or related field; strong programming skills required.
- Other info: Opportunity to present your work at specialist meetings and contribute to significant research publications.
The predicted salary is between 26300 - 31100 £ per year.
Research Associate
Vacancy Ref: : 033241 Closing Date : 02-Jun-2015
Contact Person : Jenny Chard Contact Number : 0131 650 9006
Contact Email :
The School of Informatics, University of Edinburgh, invites applications for a Research Associate position within the Statistical Machine Translation group www.statmt.org/ued/ . This position is full-time and fixed term, but with the possibility of extension. The position advertised will cover work relating to a combination of research and innovation projects.
The successful candidate will be expected to work closely with project partners across the EU to develop, integrate and adapt the latest research in Statistical Machine Translation to fulfil project obligations. A significant part of the work will be developing and applying neural network language models and translation models, in order to leverage their ability to deliver compact, state-of-the-art models.
The post is available from 15th June 2015 for 12 months (with the possibility of extension).
Grade: UE07 (£31,342 – £37,394)
(1) Job Details
Job title: Research Associate
School: School of Informatics
Line manager: Principal Investigator
(2) Job Purpose
The successful candidate will be expected to work on both an EU H2020 innovation action, and on a research collaboration with an industrial partner. The innovation action is MMT (Modern Machine Translation). The goal of MMT is to deliver a large-scale commercial translation infrastructure based on a new open-source distributed MT architecture. The collaboration with an industry partner is focussed on integration of the latest neural network techniques into state-of-the-art machine translation systems.
(3) Representative Work Activities
In general, the work activities associated with the post are to support the Principal Investigator of a specific project in achieving the goals of the project, under his or her direction.
• Undertaking a specific role in the research project under supervision
• Taking responsibility for some elements of the planned research
• Planning and carrying out a work programme appropriate to the research activity
• Developing own research portfolio in related areas
• Contributing to the writing of research grants
• Contributing to dissemination and publication of personal and/or research teams findings as appropriate.
(4) Planning and organising
The post holder will have to agree a general plan of research with the Principal Investigator and progress will be monitored at pre-scheduled meetings.
(5) Problem Solving
The problems to be faced are purely scientific and the post holder will supply the detailed expertise for delivering a solution. They will be expected to achieve this under instruction by and with advice from the Principal Investigator and other academic and senior research staff.
(6) Decision making
The post holder will determine the specific techniques and approaches to be used in the course of the research, in agreement with the Principal Investigator.
(7) Key contacts/relationships
The post holder will principally interact with the Principal Investigator and other project staff and students. More generally, the post holder will discuss the work, and other questions of scientific interest, with other members of the project at other sites and with other members of the School of Informatics. The post holder will be expected to represent the University externally, by presenting their work at specialist meeting or workshops in the relevant research area. They may also be required to provide advice and support to relevant students.
Company:
University of Edinburgh
Qualifications:
You should have the following:
– PhD (or near completion) or equivalent experience in Computer Science, Artificial Intelligence, or a related discipline
– Background in statistical machine translation, machine learning or natural language processing
– Strong programming skills, ideally including C++
It would be desirable for you to also have the following:
– Experience with the Moses toolkit including a good understanding of SMT decoder internals
– Experience with neural network models for NLP
– Good publication record
Educational level:
Ph. D.
How to apply:
Please mention NLP People as a source when applying
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.display_form
Tagged as: Academia, Language Modeling, Machine Learning, Natural Language Processing, NLP, Ph. D., United Kingdom
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Research Associate employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate
✨Tip Number 1
Familiarise yourself with the latest advancements in statistical machine translation and neural network models. This will not only help you understand the projects better but also allow you to engage in meaningful discussions during interviews.
✨Tip Number 2
Network with professionals in the field of machine learning and natural language processing. Attend relevant conferences or workshops where you can meet potential colleagues and learn more about ongoing research projects.
✨Tip Number 3
Prepare to discuss your previous research experiences and how they relate to the role. Be ready to explain your contributions to past projects, especially those involving programming and machine translation.
✨Tip Number 4
Show enthusiasm for collaboration and teamwork, as this position involves working closely with project partners across the EU. Highlight any past experiences where you successfully collaborated on research projects.
We think you need these skills to ace Research Associate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in statistical machine translation, machine learning, and natural language processing. Emphasise your programming skills, particularly in C++, and any experience with the Moses toolkit.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the job description. Mention your PhD or equivalent experience, and explain how your background aligns with the research and innovation projects outlined in the job posting.
Showcase Your Research Experience: Include details about your previous research projects, especially those related to neural network models and machine translation. Highlight any publications or contributions to research grants that demonstrate your expertise.
Follow Application Instructions: Ensure you follow all application instructions carefully. Mention NLP People as a source when applying, and double-check that all required documents are included before submitting your application through our website.
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 experience you have with statistical machine translation, machine learning, or natural language processing, as these are key areas for the role.
✨Demonstrate Technical Skills
Make sure to mention your programming skills, especially in C++. If you have experience with the Moses toolkit or neural network models, be ready to explain how you've applied these in your work.
✨Understand the Project Goals
Familiarise yourself with the MMT project and its objectives. Showing that you understand the goals of the innovation action and how your skills can contribute will impress the interviewers.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the research team, ongoing projects, and collaboration opportunities. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
