Ofertas de empleo de Investigador/a en Madrid

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada26 ene.

. Machine Learning

Company Description

The Spanish National Research Council (Consejo Superior de Investigaciones Científicas-CSIC) is the largest public research organization in Spain, encompassing 124 research centers. As a government agency, CSIC is dedicated to both basic and applied scientific research across various disciplines. It plays a key role in driving innovation and addressing societal challenges through groundbreaking research and international collaborations. CSIC fosters an environment of excellence and is committed to supporting researchers in advancing scientific knowledge.

Role Description

Artificial intelligence (AI) and quantum technologies are among the most transformative areas of frontier research and development in science and engineering today. Their convergence has the potential to redefine how we simulate, optimize, and understand complex physical systems. Integrating AI into quantum computers and simulators can help overcome current hardware constraints, improve system control, and unlock new modes of problem-solving that surpass classical approaches. 

The ML-QSIM project is built upon a robust multi-node and multi-regional structure, encompassing four complementary research groups located in Asturias (CINN), Aragón (INMA), Catalunya (CVC), and Madrid (ICMM), and aims to develop AI-driven methodologies for quantum simulations and computation based on neutral atom platforms, exploring both theoretical and experimental domains. Research will span quantum control, quantum-enhanced machine learning, and hybrid quantum-classical computation, interfacing closely with cold-atom experiments under construction at CINN. Our goal is to create robust AI tools that enhance quantum performance, contribute to the emerging ecosystem of quantum technologies in Spain and the EU, and position our consortium at the intersection of quantum physics, computer science, and artificial intelligence. 

We are seeking three highly motivated postdoctoral researchers to join the team. Each position will address a complementary research area within the project: 

1. Quantum Control and Reinforcement Learning (CINN, Asturias) 

• Develop AI-driven control strategies based on reinforcement learning to optimize cooling and trapping parameters using real-time feedback for the Rydberg atom experimental platform. 
• Enhance holographic methods for optical tweezers with generative models and closed-loop optimization. 
• Benchmark AI-assisted methods against classical control approaches and assess scalability and robustness under realistic noise conditions. 

2. Neural Ansätze for Quantum Simulations (INMA, Zaragoza) 

• Build and maintain software infrastructure for modeling quantum systems with machine learning tools. 
• Investigate neural-network-based representations of many-body quantum states (variational ansätze), symmetries, and thermal or dynamical properties. 
• Bridge the gap between simulations and experiments by connecting with the neutral atom platform developed at CINN. 

3. Quantum Machine Learning and Quantum Optimization (ICMM, Madrid) 

• Develop theoretical frameworks for qudit-based quantum neural networks and quantum active learning (QAL). 
• Investigate hybrid quantum-classical pipelines, quantum compilation techniques, and noise-aware algorithms for Rydberg architectures. 
• Apply quantum optimization to real-world problems such as logistics, scheduling, and portfolio allocation, comparing performance with classical methods. 

Qualifications

• PhD in Physics, Computer Science, Applied Mathematics, or related fields. 
• Strong background in at least one of the following: machine learning, quantum computing, control theory, computer vision, or numerical simulations. 
• Experience with Python-based scientific programming 
• Excellent problem-solving skills, 
• Ability to work collaboratively in a multidisciplinary environment and communicate across different scientific cultures. 
• Fluency in English. 

What We Offer 

• Competitive salary and contract terms following institutional and national regulations for up to three years. 
• A vibrant, interdisciplinary research environment in collaboration with leading Spanish quantum technology centers. 
• Access to quantum simulation platforms, HPC resources, and experimental facilities. 
• Opportunities to contribute to EU-funded research initiatives and international collaborations. 
• A commitment to open science, including software, data, and collaboration tools. 

How to Apply 

Please send the following materials to [email protected] by 28/02/2026

• A cover letter indicating which position(s) you are applying for and your research interests 
• Curriculum vitae including publication list and (if available) access to contributed software repositories (github/gitlab) 
• Names and contact information of two references 

Applications will be considered on a rolling basis until all positions are filled. More details of the hiring process will be given to pre-screened candidates. 

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada23 ene.

Teletrabajo . Office

The aim of compliance-driven due diligence is to assess our clients' actual or potential counterparties, looking for any issues that might pose a reputational or other risk to them.

As part of a dedicated team (VANTAGE), the compliance due diligence researcher role involves media research, working with databases, primary documents and other sources to uncover reputational and criminal issues and ultimate beneficial ownership, as well as making sense of complex corporate structures and identifying possible political and sanctions exposure.

Your main task will be to review, coordinate and report the findings of OSINT and HUMINT research concisely within short timeframes. A meticulous eye for detail is a must in this challenging, fast-paced role. The right candidate will be a team player who can maintain a positive attitude under pressure. You will be required to make sense of complex information and have a clear and crisp writing style.

Please submit a copy of your CV in English.

Tasks and Responsibilities

• Work on a range of due diligence assignments, which include corporate compliance/ABAC/ESG and financial crime/IPO/KYC projects
• Conduct media and database research using complex search criteria and following a strict methodology
• Liaise with in-country source networks to obtain relevant compliance-related information not available via OSINT sources.
• Analyse search results within the context of the project and the country,
• Distil conclusions and identify indirect connections from research findings
• Rate findings based on standard or tailored risk assessment methodologies
• Summarise all relevant findings in a report
• When required, brief and present findings to internal colleagues
• Collaborate with team members across the firm to deliver joint projects
  
  

• Essential
• Knowledge of research techniques, databases, networks, online registers and archives, and research in the general internet
• Knowledge of the business, political, and social context of a geographical area
• Native or equivalent fluency in English and Turkish
• Excellence in research and writing in English and clear communication style
• Communicate complex topics verbally and in writing effectively
• Ability to summarise large amounts of information in a clear and concise manner
• Ability to manage and prioritise multiple tasks to tight deadlines
• Curiosity, attention to detail and problem-solving skills
• Ability to work independently and in a team
• Education to degree level
  

Preferred

• Demonstrated professional experience
• Fluency in another European language or Arabic
  
  

• Control Risks offers a competitively positioned compensation and benefits package that is transparent and summarised in the full job offer.
• We operate a discretionary global bonus scheme that incentivises, and rewards individuals based on company and individual performance.
• Control Risks supports hybrid working arrangements, wherever possible, that emphasise the value of in-person time together - in the office and with our clients - while continuing to support flexible and remote working.
• Working with our clients, from day one our people are given direct responsibility, career development and the opportunity to work collaboratively on fascinating projects in a rewarding and inclusive global environment.
• The Company is committed to further its diversity, inclusion and equity agenda and as an employee you have access to various business resource groups in the Company including the Company's LGBT+ network called MOSAIC, the Women's Network, and Synergy - a people network to celebrate and promote ethnic diversity at Control Risks

Control Risks is committed to a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

If you require any reasonable adjustments to be made in order to participate fully in the interview process, please let us know and we will be happy to accommodate your needs.