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Research Opportunities

Computer Science, Electronics and Digital Systems, Digital Electronics, Microprocessors, Heterogeneous Systems

Work description

The combination of RISC-V processors with dedicated accelerators is especially promising for edge computing; among these, CGRAs (Coarse Grained Reconfigurable Arrays) stand out for their efficiency and flexibility. However, their use is still limited by integration difficulties and poorly standardized programming models.

This grant explores the use of custom RISC-V instructions as a standardizable integration mechanism, allowing abstraction in the compilation process and transparency in the use of the CGRA by software. Specific objectives:

Adapt an existing state-of-the-art CGRA for integration with a RISC-V processor through custom instructions. Validate the functional integration between RISC-V core and CGRA using in-house co-simulation methods, and simulations of CGRA designs available in the state-of-the-art. Writing a co-authored scientific article to disseminate the results obtained.

Academic Qualifications

Bachelor’s degree or enrollment

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RSS Feed Source: Academic Keys

Job ID: 260943

INESC TEC | Research Grant (AE2025-0347)
INESC TEC

Research Opportunities

Industrial Management

Work description

Support the modelling of a Decision Support System to improve decision-making regarding the design of last-mile parcel delivery policies. Develop a parcel delivery simulation module integrating traditional simulation techniques and Machine Learning models. Design the system architecture, design algorithms for integrating machine learning and generative AI models with a focus on algorithms with a low computational footprint, develop system interfaces, conduct usability tests, and document the system to be developed. Write scientific articles. Present scientific papers at events. Write the scholarship activity report.

Academic Qualifications

Bachelor’s and Master’s degree in computer engineering, industrial management engineering, electrical engineering or related field.

Minimum profile required

Average grade higher than 12 in both

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The Department of Engineering Science intends to appoint an Associate Professor of Engineering Science (Optical ad Photonic Engineering) from 1 August 2026 or as soon as possible thereafter. The successful candidate will work at the Department of Engineering Science (Central Oxford, OX1 3PJ) and will be offered a Tutorial Fellowship at Trinity College under arrangements described in the Job Description. The combined University and College salary will be on a scale currently from £55,755 p.a. to £74,867 per annum plus additional benefits (see the Job Description for full details) that include a housing allowance of £18,000 p.a.. The appointment will be initially for five years at which point, upon completion of a successful review, the post-holder will be eligible for reappointment to the retiring age.

This appointment will strengthen the Department’s research in the field of Optical and Photonic Engineering, within the wider context

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RSS Feed Source: Academic Keys

Research Opportunities

Management of hospital partnerships, data collection and analysis in the field of neurological diseases

Work description

INESC TEC’s Biomedical Engineering Research Center (C-BER) has been establishing partnerships with several hospitals to advance research in the field of neurology, collecting data that is extremely important for the group’s scientific advances in the diagnosis and follow-up of neurological diseases.

This scholarship aims to have the candidate be one of the people in charge of the clinical studies that are going on, carrying out the data collection protocols and managing and analyzing the data.

Academic Qualifications

Master’s degree in Biomedical Engineering, Electrical and Computer Engineering, or similar fields.

Minimum profile required

Previous experience in data collection in clinical settings and in the use of medical technologies, as well as laboratory prototypes. Knowledge of signal processing techniques in the field of neuroengineering.

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