Project TALC - Post/s of Full-Time or Part-Time Research Support Officer I or II - Department of Artificial Intelligence
22 Dec 2025
Job Information
- Organisation/Company
University of Malta- Department
Office for Human Resources Management & Development- Research Field
Engineering » Mechanical engineering- Researcher Profile
Recognised Researcher (R2)- Positions
Research Support Positions- Country
Malta- Application Deadline
12 Jan 2026 - 23:59 (Europe/Malta)- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
40- Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
CALL FOR APPLICATIONS (Call ID: 217/2025)
Post/s of Full-Time or Part-Time Research Support Officer I or II
Project TALC – “Targeted Aerial Litter Collection”
Xjenza Malta under the FUSION R&I Technology Development Programme LITE
And any other projects undertaken by the Department of Artificial Intelligence, Faculty of Information and Communication Technology.
Applications are invited for a Research Support Officer (RSO) in the area of Mechanical Engineering, and Artificial Intelligence, to carry out duties in relation to the TALC project, which is funded by Xjenza Malta. The RSO may also be required to work on other projects undertaken by the Department of Artificial Intelligence, Faculty of Information and Communication Technology.
The University of Malta is an Equal Opportunity employer.
Late applications will not be considered.
Further information may be obtained from http://www.um.edu.mt/hrmd/recruitment and should you have any queries, please send us an email on projects.hrmd@um.edu.mt .
Further Information
The Targeted Aerial Litter Collection (TALC) project aims to develop and validate an innovative system for retrieving litter from difficult-to-access terrestrial environments. This project will integrate a human-piloted Unmanned Aerial Vehicle (UAV), an adaptable robotic gripper, and an Artificial Intelligence (AI) powered decision-making framework. The AI will autonomously assess litter retrievability, considering object characteristics and environmental factors, to guide the grasping action. Key objectives include designing and optimising the gripper for common litter types (e.g., plastic bottles, metal cans), developing robust AI assessment algorithms, and conducting progressive field trials in collaboration with Malta's Cleansing and Maintenance Division (CMD) to validate system effectiveness across varied terrains. TALC intends to advance the integrated system from Technology Readiness Level (TRL) 4 to TRL 6, demonstrating a prototype in a relevant operational environment. The project seeks to enhance the efficiency and safety of public cleansing operations, offering a novel solution for managing waste in areas currently challenging for manual or ground-based methods. This initiative aligns with national priorities for digital technology application and sustainable environmental management. Further information may be obtained by contacting Dr Dylan Seychell at dylan.seychell@um.edu.mt or Prof. Ing. Michael A. Saliba at michael.saliba@um.edu.mt . The RSO may also be required to work on other projects undertaken by the Department of Artificial Intelligence, Faculty of Information and Communication Technology.
The appointee will be responsible for carrying out research with the main duties including:
The appointee will be expected to work at such places and during such hours as may be determined by the University authorities.
The selection procedure will involve:
- scrutiny of qualifications and experience claimed and supported by testimonials and/or certificates (copies to be included with the application);
- shortlisting; and
- an interview and / or extended interview.
Office of the University,
Msida, 22nd December 2025
Where to apply
- Website
- https://www.um.edu.mt/hrmd/workatum-projects
Requirements
- Research Field
- Engineering » Mechanical engineering
- Education Level
- Bachelor Degree or equivalent
Skills/Qualifications
Applicants must be in possession of an undergraduate degree in Engineering or in a closely related field, and preferably (or necessarily if the undergraduate degree is not in Engineering) also a Master's degree in an appropriate area, as detailed in paragraph 3 below. Applicants without a Master's degree should preferably have a classification of at least Second Class (Upper Division) in their undergraduate Engineering degree. Very good knowledge of English is a prerequisite, and previous experience in report writing will be considered an asset.
The area of the Bachelor’s degree for this project must be either in Mechanical Engineering or in Electrical/Electronic Engineering, with preference being given to applicants having also a Master’s degree in Mechanical or Electrical/Electronic Engineering or a related area, preferably in the area of Robotics or a related topic. A Bachelor's degree in an area closely related to Engineering, as well as a Master’s degree in an area that is strongly relevant to the general objectives of TALC will also be considered. The selected applicant will be assigned to either an RSO I or RSO II post, depending on whether or not the successful candidate possesses a relevant Master's degree.
Specific Requirements
Live in Malta
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- University of Malta
- Country
- Malta
- Geofield
Contact
- City
Msida- Website
http://www.um.edu.mt/hrmd/recruitment- Street
University of Malta Msida MSD 2080 MALTA
projects.hrmd@um.edu.mt
STATUS: EXPIRED
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