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Collaboratori scientifici nell'area dell'apprendimento automatico - Job Opportunity at SUPSI - Scuola universitaria professionale della Svizzera Italiana

Lugano, Switzerland
Full-time
Mid-level
Posted: June 17, 2025
On-site
CHF 85,000 - 105,000 annually based on Switzerland's competitive research sector compensation, SUPSI's institutional standing, and the specialized nature of AI research roles in the financial sector

Benefits

Stimulating international research environment with high-level academic and industrial collaborations providing exposure to cutting-edge projects and global networking opportunities
Participation in prestigious conferences and workshops enhancing professional visibility and scientific networking capabilities
Access to state-of-the-art machine learning technologies and development opportunities positioning candidates at the forefront of AI innovation
No teaching or administrative obligations allowing full focus on research and development activities
Two-year fixed-term contract with renewal possibilities providing job security and career continuity
Competitive compensation aligned with Swiss standards and candidate experience offering above-average market remuneration

Key Responsibilities

Lead the development and implementation of sophisticated deep learning systems specifically tailored for financial sector applications, driving innovation in fintech solutions
Execute strategic collaboration within research and development teams on high-impact financial sector projects, contributing to groundbreaking industry solutions
Foster cross-functional partnerships with software engineers, researchers, and industry stakeholders to deliver comprehensive AI solutions
Integrate advanced NLP and deep learning technologies into practical applications through interdisciplinary collaboration, bridging theory and real-world implementation
Design and propose innovative AI system prototypes that push the boundaries of current technology capabilities
Apply cutting-edge techniques in deep learning, transformers, and large language models with efficient parameter tuning to solve complex industry challenges

Requirements

Education

Master's degree in computer engineering, machine learning, or equivalent background

Experience

Must be among the top 5-10% graduates from their university with proven programming capabilities

Required Skills

Exceptional programming skills in Python Experience with modern ML tools Proven experience with deep learning libraries (PyTorch/TensorFlow/ONNX) NumPy proficiency Ability to work independently and goal-oriented Extensive deep learning experience, particularly with LLMs Experience with reinforcement learning in LLM contexts Work/research experience in financial sector Previous scientific research experience Knowledge of relational databases (MySQL, PostgreSQL) NoSQL databases experience (MongoDB) Containerization tools (Docker) CI/CD tools experience (Jenkins, GitLab, CircleCI) Microservices architecture and REST API knowledge
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Sauge AI Market Intelligence

Industry Trends

The convergence of artificial intelligence and financial services is accelerating rapidly, with institutions investing heavily in AI-driven solutions for risk management, algorithmic trading, fraud detection, and customer service automation. This trend is particularly strong in Switzerland's financial sector, which is embracing digital transformation to maintain its competitive edge in global markets. Large Language Models and transformer architectures are revolutionizing natural language processing applications in finance, enabling sophisticated document analysis, regulatory compliance automation, and advanced customer interaction systems. The demand for professionals who can adapt these technologies to financial contexts is experiencing unprecedented growth. The integration of reinforcement learning with financial applications is emerging as a critical area for algorithmic trading, portfolio optimization, and dynamic risk assessment. Organizations are seeking specialists who can bridge the gap between academic research and practical financial applications. Swiss research institutions are increasingly collaborating with financial industry partners to develop next-generation AI solutions, creating a unique ecosystem where academic rigor meets commercial application requirements.

Role Significance

Typically works within a research team of 8-12 professionals including fellow researchers, software engineers, and industry liaisons, with opportunities to lead specialized AI workstreams and mentor junior researchers
This role represents a mid-to-senior level research position with significant autonomy and impact potential. The requirement for top 5-10% academic performance combined with specialized AI expertise positions this as a high-responsibility role that will influence strategic research directions and industry partnerships.

Key Projects

Development of proprietary deep learning models for financial risk assessment and market prediction algorithms Creation of large language model applications for automated regulatory compliance and document processing systems Implementation of reinforcement learning systems for dynamic portfolio management and algorithmic trading strategies Collaborative research initiatives with Swiss financial institutions on next-generation AI-powered financial services

Success Factors

Ability to translate complex academic AI research into practical financial applications that deliver measurable business value Strong collaborative skills to work effectively across interdisciplinary teams combining computer scientists, financial experts, and industry practitioners Continuous learning mindset to stay current with rapidly evolving AI technologies while understanding their implications for financial services Research publication capabilities to contribute to the academic reputation of IDSIA while building industry credibility Project management skills to handle multiple research initiatives simultaneously while meeting industry partner expectations

Market Demand

Very high demand driven by Switzerland's position as a global financial hub combined with the critical shortage of AI specialists who understand both technical implementation and financial sector requirements

Important Skills

Critical Skills

Python programming expertise is fundamental as it serves as the primary language for machine learning implementation and is essential for all development activities in modern AI research environments. Proficiency in Python determines the ability to translate research concepts into working solutions efficiently. Deep learning framework experience, particularly PyTorch and TensorFlow, is absolutely essential as these tools form the backbone of all modern AI development. Mastery of these frameworks enables rapid prototyping and implementation of sophisticated neural network architectures required for financial applications. Large Language Model expertise is becoming increasingly critical as these models revolutionize natural language processing applications in finance, from document analysis to customer service automation. Understanding LLM architecture and fine-tuning techniques is essential for developing next-generation financial AI solutions. Financial sector knowledge provides crucial context for developing AI solutions that address real business needs while meeting regulatory requirements. This domain expertise ensures that technical solutions align with industry practices and compliance standards.

Beneficial Skills

Reinforcement learning skills are highly valuable for developing sophisticated algorithmic trading systems and dynamic risk management solutions that can adapt to changing market conditions autonomously Database management expertise in both SQL and NoSQL systems enables efficient handling of large financial datasets and supports the development of scalable AI applications DevOps and containerization skills facilitate the deployment and scaling of AI solutions in production environments, bridging the gap between research prototypes and commercial applications Previous research experience provides valuable skills in methodology, publication, and collaboration that enhance credibility and effectiveness in academic-industry partnerships

Unique Aspects

Rare opportunity to work at one of the world's most prestigious AI research institutes, IDSIA, which has been instrumental in developing many foundational deep learning technologies currently transforming industries globally
Direct application of cutting-edge AI research to Switzerland's robust financial sector, providing immediate real-world impact and validation of research outcomes
Access to international research networks and collaboration opportunities with leading AI researchers and financial institutions across Europe and beyond
Freedom from teaching and administrative responsibilities allows complete focus on research and development activities, maximizing professional growth and research output potential
Combination of academic rigor with industry application provides unique career positioning for both academic and commercial career paths

Career Growth

Career advancement typically occurs within 3-5 years given the high demand for AI expertise in finance and the strong foundation provided by SUPSI's research environment and industry connections

Potential Next Roles

Senior AI Research Scientist leading major research programs and industry partnerships AI Technology Director at financial institutions or fintech companies Principal Research Engineer at major technology companies focusing on financial AI applications Academic positions as Assistant Professor specializing in AI applications in finance Chief AI Officer or Head of AI Strategy at financial services organizations

Company Overview

SUPSI - Scuola universitaria professionale della Svizzera Italiana

SUPSI represents one of Switzerland's premier applied sciences universities, with IDSIA being a globally recognized research institute in artificial intelligence founded by Jürgen Schmidhuber and known for groundbreaking contributions to deep learning and neural networks. The institution combines academic excellence with practical application focus, making it an ideal environment for translating cutting-edge AI research into real-world solutions.

IDSIA USI-SUPSI holds a prestigious position in the global AI research community, consistently ranking among top research institutions for machine learning and artificial intelligence. Its location in Lugano provides access to both Swiss financial centers and the broader European research ecosystem.
Strategically positioned in Switzerland's Italian-speaking region, the institute serves as a bridge between Swiss financial expertise, Italian innovation culture, and broader European research networks. This location offers unique advantages for international collaboration while maintaining access to Switzerland's stable economic environment.
The research environment emphasizes academic freedom combined with practical impact, fostering innovation through collaboration between researchers, industry partners, and international academic networks. The culture supports professional growth through conference participation and networking while maintaining focus on delivering tangible research outcomes.
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