DTIC-PLCT-2025-05 - Specialist support technician: Algorithmic Engineering Specialist for Geo-Referenced Data Analysis

Description

Project description: The GUIDE project addresses gaps in algorithms and privacy-preserving data mining methods for platforms integrating individual data on domestic utility consumption and mobility. While big data holds promise for societal issues, solutions depend on practical algorithms and user flexibility. GUIDE highlights the need for privacy-protecting methods to safely combine granular data, enabling participation, personalisation, and fairness. These methods empower citizens with actionable insights into their environmental footprint, promoting active participation and resource management, particularly regarding energy and climate change.

The project aims to develop interoperable data tools for individuals to explore their historical utility and mobility patterns. By advancing privacy management and data mining algorithms, GUIDE seeks to enable secure, human-in-the-loop techniques for generating actionable knowledge, fostering informed communities, and promoting planetary well-being.

Tasks to be performed:

1. Carry out the design, analysis, implementation, integration and evaluation of techniques and algorithms for spatio-temporal data. (contribute to Objective 2 of GUIDE: “Data sharing and interoperability mechanisms”).

2. Advance or adapt methods for privacy-preserving data mining to the context of geo-referenced data (contribute to Objective 1 “Privacy-preserving capabilities”).

3. Implementation of algorithms in HPC under frameworks like Map/Reduce and in particular the clusters we have access to with Hadoop (contribute to Objective 3 “Pattern discovery algorithms and consumer suggestions with accessible API”).

4. Analyse the algorithm’s complexity and perform delicate and expert algorithmic engineering (contribute to Objective 4  “Data governance integrative platform integrating trustworthy AI, human-in-the- loop, and algorithm fairness”)

5. Contrast the theoretical complexity analysis with observed implementation performance and  perform delicate and expert algorithmic engineering (contribute to Objective 5 ”Pilot study generating impact”).

The duration of these tasks is estimated over a period of 24 months.

Group and complement: Group 2 Level p

Dedication and working hours: From 35h/week to 20 h/week.

Planned remuneration approx: from 34.259,42 € to 19.576,74 € gross per year based on working hours.

Financing fund: Proyecto PID2023-148115OB-I00 financiado por MICIU/AEI/10.13039/501100011033 y por FEDER, UE

Qualifications

Requirements: 

• Bachelor degree.

The expected start date is March 3rd 2025, the job is in Barcelona.

Selection criteria: The selection of the candidates will be made through evaluation of the curriculum and, where appropriate, with the carrying out a test and/or interview. Valuation will be as follows:

1- Academic Training (0-40 points).

• A background in data science, computer science or geoinformatics (and capable of understanding privacy-preserving methods or knowledge of GIS and methods for spatio-temporal data mining).

• Master’s degree oriented to the task and activities listed before and required for the project.

2- Other professional training and experience, adequacy to the proposed profile (0-40 points):

• Previous experience with research projects.

• Demonstrated experience in case studies regarding anonymisation of sanitisation of dataset.

• Knowledge of legislation, such as the General Data Protection Regulation (GDPR).

3- Other merits (0-20 points):

• Demonstrated working experience in English language.

The minimum score to pass the selection process is 80 points. The candidate with the highest score in the selection process will be offered the job.

Application Instructions

BASIC INFORMATION ON DATA PROTECTION: 

Data Controller: Universitat Pompeu Fabra

Purpose: Research support staff recruitment.

Rights: You can access your data; request their rectification, deletion and portability; you may object to their processing and request their limitation.

Additional information: Further detailed information is available on the website: https://www.upf.edu/web/personal/proteccio-de-dades-pas1

Equal Employment Opportunity Statement

UPF promotes a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, race, religion or sexual orientation.