The closing date for this job has now passed.

Job reference: SAE-021488
Salary: £34,773 to £47,823 p.a (Grade H9-H12) including Mobility allowance and, if applicable, family allowance according to relevant experience
Faculty/Organisational Unit: Science and Engineering
Location: Oxford Road, Manchester
Employment type: Fixed Term
Division/Team: Department of Computer Science
Hours Per Week: Full time
Closing date: 18/04/2023
Contract Duration: 1 September 2023 until 31 August 2026 (36 months)
School/Directorate: School of Engineering

Job Description

Two Marie Sklodowska-Curie Early Stage Researcher in Robotics and AI (MSCA DN “TRAIL”)

The University of Manchester, with Department of Computer Science and Centre for Robotics and AI, are looking for applications for 2 Doctoral Candidate Researchers in the topic of Robotics and AI. These are PhD student positions with an MSCA Early Stage Researcher (ESR) contract.

The positions are part of the new Horizon Europe project: TRAIL - TRAnsparent InterpretabLe robots (Doctoral Network, EU MSCA Project)

Start date of PhD: 1 September 2023, for 3 years

Salary level: salary in accordance with the attractive EU MSCA Doctoral Network regulations for doctoral candidates

Application deadline: 18 April 2023

The Doctoral Network TRAIL consists of 15 institutions including universities, research institutions and industry partners. The research area of TRAIL is neural network technology, intelligent robotics and transparency in artificial intelligence. The focus of the research at the University of Manchester will be on neural networks models of language and trust in robots, within Angelo Cangelosi’s Cognitive Robotics Lab. The ESR researchers will focus on the following topics:​​​​​​​

PhD Position 1: Interactive language explanations for trust in human-robot communication

PhD Researcher 2: Transparent and grounded communication with abstract language 

The successful candidate will receive an attractive salary in accordance with the MSCA regulations for Early-Stage Researchers. The salary includes a living allowance, a mobility allowance and a family allowance (if applicable). Furthermore, TRAIL will offer to take advantage of joint scientific research trainings, transferable skills workshops, and international conferences. For more information about the project and consortium see

For Informal enquiries, email:


BSc/MSc or equivalent in Artificial Intelligence, Computer Science or Engineering with a focus on Robotics, AI and/or Neural Networks is required. Excellent programming skills (e.g. Python, C++, Machine Learning Frameworks, ROS etc.) are needed and expertise in at least one of neural networks or intelligent robotics is needed for these positions.

According to EU mobility rules, the doctoral researchers must not have resided or carried out their main activity (work, studies, etc.) in Germany for longer than 12 months in the 3 years immediately prior to their recruitment. Applicants who already have a doctoral degree are not eligible. Excellent English communication skills are an important requirement.​​​​​​​


Apply via the University of Manchester online system

Upload your complete application documents (cover letter, curriculum vitae with details about where you resided or carried out your main activity [work, studies, etc.] in the three years immediately prior to the application deadline, copies of degree certificate[s], names and email contacts for two referees who would be willing to write a letter of support for your application, any English language certificates) via the online application form only.

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status.  All appointments are made on merit.

Our University is positive about flexible working – you can find out more here

Blended working arrangements may be considered

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:

Name:  Angelo Cangelosi

Email:  ​​​​​​​

General enquiries:


Technical support:


This vacancy will close for applications at midnight on the closing date.

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