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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 informatics and AI research.
- Benefits: Enjoy a full-time role with potential for extension and collaboration across the EU.
- 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 36000 - 60000 £ per year.
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).
(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
Specific requirements:
2 months, with the possibility of extension
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 position within the Statistical Machine Translation group employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate position within the Statistical Machine Translation group
✨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 by attending relevant workshops or conferences. This can provide you with insights into current research trends and may even lead to valuable connections that could support your application.
✨Tip Number 3
Prepare to discuss your previous research experiences in detail, especially those related to machine learning and natural language processing. Be ready to explain how your skills align with the goals of the MMT project.
✨Tip Number 4
Showcase your programming skills, particularly in C++. Consider working on a small project or contributing to open-source initiatives that demonstrate your ability to apply your technical knowledge in practical scenarios.
We think you need these skills to ace Research Associate position within the Statistical Machine Translation group
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 any programming skills, particularly in C++, and mention any specific projects or research that align with the job description.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your motivation for applying to the Research Associate position. Discuss your background in related fields and how your skills can contribute to the goals of the Statistical Machine Translation group.
Highlight Relevant Projects: In your application, include details about any relevant projects you've worked on, especially those involving neural network models or the Moses toolkit. This will demonstrate your practical experience and understanding of the field.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or inconsistencies. A well-presented application reflects your attention to detail and professionalism, which are crucial in academic roles.
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 statistical machine translation or neural networks. Highlight any specific contributions you made and the outcomes of those projects.
✨Demonstrate Technical Proficiency
Since strong programming skills are essential for this role, be ready to talk about your experience with programming languages, particularly C++. If you've worked with the Moses toolkit or similar technologies, make sure to mention that.
✨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 team dynamics, ongoing projects, and future directions of the research group. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
