Project Engineer - Talking to Machines Project 


Premium Job From Nuffield College

Recruiter

Nuffield College

Listed on

28th February

Location

Oxford

Salary/Rate

£55,270

Salary Notes

Competitive + Benefits

Type

Contract

This job has now expired please search on the home page to find live IT Jobs.

Job title: Project Engineer - Talking to Machines Project 
Department: Nuffield College/HEC University of Lausanne
Place of work: Nuffield College (some hybrid working may be considered)  
Responsible to: Professor Ray Duch, Director of Nuffield Centre for Experimental Social Sciences (CESS) 
Salary: £55,270 per annum   
Hours: Full time (35 hours per week)   
Length of post: 4 years (with a 6 month probationary period) 

Nuffield College and the Faculty of Business and Economics (HEC) at the University of Lausanne seek to recruit a Research Engineer to work with Professor Ray Duch (Director of the Nuffield CESS) and Professor Sonja Vogt on the "Talking to Machines" research project, funded by the Swiss National Research Foundation. The project will focus on developing a platform that will harness artificial intelligence and machine learning to dramatically increase the scale and precision of global experimental trials.  

The Project Engineer - Talking to Machines Project position is based at Nuffield College, and will involve collaboration with team members at the University of Lausanne, and other collaborating institutions throughout the world. The post is fixed-term for 4 years. The core duties of the role include:  developing full-stack a web platform and corresponding end-to-end software pipeline that will enable the design of large-scale experimental trials, as described above; implementing recommender systems that will enable the assignment of optimal treatments to users / participants on-the-fly; implementing data science and NLP methods for data processing and analysis, to be used for downstream (econometric) models; working closely with team members (Data Scientists and Faculty) to adapt code used for data wrangling, machine learning and optimization to specific contexts based on the needs of projects.

Successful candidates should have an advanced degree in Computer Science, Engineering, Statistics or a related field.  They should also possess excellent Python programming skills; strong knowledge of a deep learning framework (PyTorch, JAX/FLAX or Tensorflow 2.0), and experience/familiarity with the HuggingFace tools and libraries; experience incorporating ML-based workflows into recommender systems and building and deploying a cloud-based infrastructure. They should demonstrate commitment to and alignment with the goals of the "Talking to Machines" project; ability to manage work across many different projects simultaneously, and to work well within collaborative and cross-functional team settings, and strong communication skills with both technical and non-technical partner organizations.

The post is full-time (35 hours per week) and available from April 2024, or as soon as possible thereafter. The salary offered is £55,270 per annum. The Research Engineer will be employed by and primarily affiliated with Nuffield College where the successful candidate will receive supervision from and report to Professor Ray Duch.

The deadline for receipt of applications is Sunday 31st March 2024.

How to apply:

We invite you to apply online for this position by clicking on the "Apply" link below. This will take you to the Interfolio Web Recruitment System where you will need to register for an account (if you have not done so previously) and log in before completing an online application. For the online application you will be asked to complete an application form and a recruitment monitoring form, and to upload the following documents:

  1. A curriculum vitae.
  2. A maximum two-page description of your research training and experience and how these meet the requirements of the position. Optional: We also welcome attachments showcasing work samples and portfolios of past projects.
  3. You are also asked to arrange for two references to be submitted directly to the Interfolio platform by your referees in time for the closing date for applications.  This can be done during your online application, when you will be asked to provide your referees' names and email addresses.  Interfolio will then send automated email reference requests to your referees, with an invitation to upload their confidential reference directly to the Interfolio platform.

Nuffield College promotes excellence in education and research, and is an equal opportunities employer committed to equality and valuing diversity. Applications are particularly welcome from women, from disabled people, and from black and minority ethnic candidates, who are currently under-represented in posts in the College.

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