Ofertas de empleo para machine-learning

• 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
• Publicada26 ene.

Python Machine Learning Office

We are seeking a skilled Python ML/AI Engineer with a strong background in software engineering and expertise in Python and machine learning

In this role, you will contribute to an innovative AI project, enabling businesses to create seamless conversational experiences across various interfaces. If you are ready to drive AI innovation and collaborate with high-performing teams, we encourage you to apply.

Responsibilities

- Define, optimize, and implement efficient workflows and development processes
- Develop, maintain, and improve technical documentation for clarity and consistency
- Implement monthly updates for Deep Learning Python libraries, addressing security vulnerabilities
- Maintain and enhance Python libraries, ensuring security, reliability, and compatibility
- Improve test coverage for Python libraries to enhance reliability and maintainability
- Communicate daily with the client, providing updates and addressing concerns
- Collaborate with cross-functional teams to ensure smooth project execution

Requirements

- 3+ years of experience in programming with Python
- Expertise in Natural Language Processing and Deep Learning
- Background in machine learning frameworks such as PyTorch and TensorFlow
- Familiarity with Python libraries, including PyDantic and Cryptography
- Understanding of build and dependency management tools like Poetry and PIP
- Knowledge of secure coding practices and experience addressing security vulnerabilities
- Strong troubleshooting skills with the capability to support iterative development processes
- Proficiency in English for effective communication with clients and teams

Nice to have

- Experience working with cloud-based AI platforms
- Familiarity with cryptography and security protocols in AI applications
- Previous experience in distributed or remote teams
- OCI and ODA certifications or willingness to obtain them
- Experience with high-performance computing for AI workloads

We offer/Benefits

- Private health insurance
- EPAM Employees Stock Purchase Plan
- 100% paid sick leave
- Referral Program
- Professional certification
- Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

- Why Join EPAM
- WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
- CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
- CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
- STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada25 ene.

Teletrabajo . React Javascript API Python TSQL OOP Docker Cloud Coumputing Kubernetes GraphQL Git REST IoT Redis Machine Learning

The role of a Growth Engineer at Canonical

Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of technology adoption, for our customers and for our own martech stack. We are looking for an experienced Growth Engineer to join our team and take ownership of our marketing technology stack, data architecture, and infrastructure. This role is critical for designing and scaling the systems that power marketing automation, lifecycle marketing, and data-driven growth initiatives.

The ideal candidate will be passionate about technology, data, and the use of technology in marketing. You will thrive in an environment that emphasizes ownership, collaboration, learning, and a drive to continually improve. If you love to solve complex problems, get hands-on with cutting-edge tools, and build the automated systems that fuel a global business, we want to talk with you.

This role sits in the Marketing team reporting to the Growth Engineering Manager.

Location: This role will be based remotely in the EMEA region.

What your day will look like

• Design, build, and maintain our core data infrastructure and martech stack to support marketing and sales goals.
• Develop and optimize robust data pipelines, automations, and integrations between our CRM, marketing platforms, and data warehouse.
• Architect and manage APIs for seamless system integration and data flow across the entire stack.
• Collaborate with marketing, sales, and product teams to understand their needs and architect technical solutions.
• Implement and champion software engineering best practices, including clean code, CI/CD, automated testing, and version control.
• Explore and integrate cutting-edge tools to enhance our data capabilities and operational efficiency.
• Support marketing team members with strategic expertise, setting up and monitoring automations
• Build on automation and AI to improve lead management
• Develop Canonical's martech stack to industry leading standard
  
  

What we are looking for in you?

• System Design: Expertise in system design, particularly in the data world, with a strong understanding of networking, proxies, and data ingress/egress patterns.
• Cloud & Databases: Proficiency with cloud data warehousing (e.g., BigQuery), relational databases (e.g., Postgres), and object stores (e.g., S3). Knowledge of Docker, Kubernetes, and data stores like Redis is a plus.
• API Architecture: Deep knowledge of API architecture and design, with a primary focus on REST. Experience with GraphQL is beneficial.
• Programming: Senior-level knowledge of Python (OOP, APIs, asyncio, scientific libraries) and SQL (experience with tools like Trino and dbt is highly valued).
• Web Technologies: A solid understanding of web application backend-frontend processes. Working knowledge of JavaScript is required; experience with React is a nice-to-have.
• Engineering Best Practices: A commitment to writing clean, maintainable code, with experience in CI/CD, automated testing, and version control (Git).
• Mindset: A curious and collaborative problem-solver with a growth mindset and a keen interest in the commercial domains of marketing and sales. Plus, exceptional interpersonal skills and aptitude for forging trusting relationships across diverse, cross-functional teams
  
  

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.

🏠Fully remote working environment - we've been working remotely since 2004!

📚Personal learning and development budget of 2,000USD per annum

💰Annual compensation review

🏆Recognition rewards

🏝 Annual holiday leave

👶Parental Leave

🧑💼Employee Assistance Programme

🧳Opportunity to travel to new locations to meet colleagues at 'sprints'

✈️Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada25 ene.

. Machine Learning

Biological sciences » Biological engineering

Engineering » Chemical engineering

Organisation/Company CSIC Research Field Biological sciences » Biological engineering Engineering » Chemical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 31 Mar *********:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jun **** Is the job funded through the EU Research Framework Programme?

Horizon Europe - MSCA Marie Curie Grant Agreement Number ********* Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Objectives

Improve the biomanufacturing efficiency through a combination of advanced computational and experimental techniques (in model organisms such as P. pastoris and C. necator), along with AI-driven tools for bio-retrosynthesis-based metabolic pathway design, enzyme design and optimization, and DNA part selection.

Knowledge-graph-based combinatorial experiment designs are used to span multiple scales, while Multiobjective optimization strategies ensure improvements in efficiency across various biomanufacturing scales.

Expected Results

Development of innovative bio-based production methods tailored to meet specific target property requirements.

These methods will leverage new-to-nature metabolic pathways, ensuring the efficient production of food ingredients and proteins.

A multi-scale strategy will be implemented to design and optimise these metabolic pathways, integrating insights from various biological scales.

Where to apply

E-mail ******

Requirements

Research Field Technology » Biotechnology Education Level Master Degree or equivalent

Research Field Biological sciences » Biological engineering Education Level Master Degree or equivalent

Research Field Engineering » Chemical engineering Education Level Master Degree or equivalent

Skills/Qualifications

Candidates should hold a degree in biotechnology, synthetic biology, systems biology, applied mathematics (or a related subject area), be interested in biomanufacturing in biofoundries, and have technical skills in computer programming and basic knowledge of mathematical models for systems and/or synthetic biology.

A secondment at the Technical University of Berlin, Germany, lasting a total of six months, is an integral part of the PhD program.

Languages ENGLISH Level Good

Additional Information

A comprehensive, interactive and international training programme covering the broader aspects and interface between life science, data science, artificial intelligence and humanities and social sciences, as well as transferable skills

An enthusiastic team of professionals to co-operate with

Personal Career Development Plan (PDCP) to prepare young researchers for their future careers

Each DC will undergo individual training at individual institutes according to the PCDP description

An attractive compensation package in accordance with the MSCA-DN programme regulations for doctoral candidates.

The exact salary will be confirmed and will be based on a living allowance of ****€/month (correction factor to be applied per country) + mobility allowance of 600€/month.

Additionally, researchers may also qualify for a family allowance of 660€/month, depending on the family situation.

Taxation and social (including pension) contribution deductions based on national and company regulations will apply.

Eligibility criteria

Any nationality

Doctoral Candidate (DC): The applicant must not have been awarded a doctoral degree.

Mobility rule: The DC must not have resided or carried out main activity (work, studies, etc.) in the country of their host organisation for more than 12 months* in the three years immediately prior to the date of selection in the same appointing international organisation.

• EXCLUDED: short stays such as holidays, compulsory national services such as mandatory military service and procedures for obtaining refugee status under the General Convention.
  
  

Language: Applicants must demonstrate fluent reading, writing and speaking abilities in English (B2).

Selection process

FrameBio (Multiscale Frameworks for BioSolutions) is a project funded by the European Union with a goal is to revolutionise biotechnology by developing comprehensive computational modules that simulate the microbial behaviour of bioproducts and quantify/estimate their resource dependencies across various scales.

This PhD position is part of a unique multidisciplinary Doctoral Network (15 partners and 10 countries) that will collaborate and train 13 PhDs in genomics, metabolomics, fermentation, process optimisation, data science, and sustainability assessments.

This project has received funding from the Horizon Europe, Marie Sklodowska-Curie Actions (MSCA) grant (Grant agreement ID: *********, ).

Additional comments

Supervisors team

The

Dynamics Biodesign Lab (DBDL)

, led by Dr.

Pablo Carbonell

, creates innovative solutions for automated biofoundries, fostering sustainable industrial biotechnology across the bio-economy sectors.

The lab combines synthetic biology, machine learning and biosensor and pathway dynamic regulation design to produce next-generation bio-based chemicals.

The

Computational Synthetic Biology group (CSBG)

, led by Dr.

Irene Otero-Muras

, works on the design, analysis and control of biomolecular networks: nonlinear, complex systems – sometimes subject to significant molecular noise – with relevance in cell regulation, signalling and metabolic processes.

The research aims to advance fundamental understanding and address innovative applications for systems and synthetic biology.

The

Biotechnology of Industrial Yeasts Laboratory

of I2SysBio, led by Dr.

Agustín Aranda

, deals with the use of different species of yeast of biotechnological interest, mainly Saccharomyces cerevisiae during winemaking.

We are focused on regulatory systems as stress response (mainly oxidative) and nutrient signalling pathways, and we use genetic manipulation to characterise such mechanisms in conditions that mimic industrial environments.

The

Spanish National Research Council (CSIC)

is the largest public research organisation in Spain and one of the most important in the European Research Area (ERA).

It is the main player in the Spanish Science, Technology, and Innovation System and is currently made up of over 13,200 people.

These individuals are distributed between the CSIC Corporate Organisation, 121 research institutes, and three national centres located throughout Spain, as well as an institute in Rome.

The CSIC conducts research in three core areas: Society, Life, and Material, which cover most academic disciplines.

In March ****, the CSIC was among the institutions awarded the 'HR Excellence in Research Award'.

The DC will be enrolled in the "Institute for Integrative Systems Biology .

The DC will be enrolled in the Science and Technology Programme, Biosciences area, offered by the Menendez Pelayo International University.

#J-*****-Ljbffr

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada25 ene.

Teletrabajo . Python Azure Cloud Coumputing Ansible Scala Microservices AWS DevOps Terraform Kafka Spark Big Data Machine Learning

Join to apply for the

Senior Data Engineer

role at

Ultra Tendency

Our Engineering department is growing and we're looking for a

Senior Data Engineer – Databricks (m/f/*)

to join our team in Spain and support our global growth.

What We Offer

Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Spain).

A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents.

Contribute your ideas to unique projects and make an impact by turning them into reality.

Balance work and personal life through our workflow organization and choose where you work.

Annual performance review and regular feedback cycles, generating distinct value by connecting colleagues through networks rather than hierarchies.

Individual development plan and professional development opportunities.

Educational resources such as paid certifications, unlimited access to Udemy Business, etc.

Local, virtual, and global team events, in which UT colleagues become acquainted with one another.

What You'll Do

Design, implement, and maintain scalable data pipelines using Databricks Lakehouse Platform with a strong focus on Apache Spark, Delta Lake, and Unity Catalog.

Lead the development of batch and streaming data workflows that power analytics, machine learning, and business intelligence use cases.

Collaborate with data scientists, architects, and business stakeholders to translate complex data requirements into robust, production-grade solutions.

Optimize performance and cost-efficiency of Databricks clusters and jobs, leveraging tools such as Photon, Auto Loader, and Job Workflows.

Establish and enforce best practices for data quality, governance, and security within the Databricks environment.

Mentor junior engineers and contribute to the evolution of the team's Databricks expertise.

What You'll Bring

Deep hands-on experience with Databricks on Azure, AWS, or GCP, including Spark (PySpark/Scala), Delta Lake, and MLflow.

Strong programming skills in Python or Scala, and experience with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps).

Solid understanding of distributed computing, data modeling, and performance tuning in cloud-native environments.

Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure-as-code (e.g., Terraform).

A proactive mindset, strong communication skills, and a passion for building scalable, reliable data systems.

Professional Spanish & English communication skills (C1-level, written and spoken).

Did we pique your interest, or do you have any questions?

We want to hear from you: contact us at

About Us

Ultra Tendency is an international premier Data Engineering consultancy for Big Data, Cloud, Streaming, IIoT and Microservices.

We design, build, and operate large-scale data-driven applications for major enterprises such as the European Central Bank, HUK-Coburg, Deutsche Telekom, and Europe's largest car manufacturer.

Founded in Germany in ****, UT has developed a reliable client base and now runs 8 branches in 7 countries across 3 continents.

At Ultra Tendency we contribute source code to +20 open-source projects including Ansible, Terraform, NiFi, and Kafka.

We evaluate your application based on your skills and corresponding business requirements. Ultra Tendency welcomes applications from qualified candidates regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.

Data privacy statement: Data Protection for Applicants – Ultra Tendency

Job Details

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industry: Tobacco Manufacturing

Referrals increase your chances of interviewing at Ultra Tendency by 2x.

#J-*****-Ljbffr

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada25 ene.

. Python Machine Learning

About The Job

We are looking for an outstanding individual with expertise in sustainability and a holistic perspective on the environmental footprint of AI workloads. This person will play a key role in shaping and optimizing sustainability features for AI workloads, collaborating closely with hardware and software engineers in a co-design environment.

Key Responsibilities

• Research, design, and implement sustainability features to quantify and minimize the environmental impact of large-scale AI model training and inference.
• Collaborate with hardware and software engineers to ensure efficient model deployment on custom silicon solutions.
• Explore new techniques for improving model footprint, model throughput, and hardware utilization.
• Develop and implement distributed scheduling strategies for carbon-aware large-scale model deployments across high-performance computing infrastructures.
• Conduct performance benchmarking and profiling of ML workloads on custom accelerators.
• Stay up to date with advancements in deep learning, sustainability, and AI hardware to bring innovative ideas into Openchip’s AI strategy.
• Participate in technical discussions and contribute to Openchip’s AI research and development roadmap.
  
  

Qualifications

• MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Publication record is a plus.
• Hands-on experience in training and deploying AI models, particularly LLMs or equivalent large architectures.
• Strong programming skills in Python and proficiency with ML frameworks, such as PyTorch or TensorFlow.
• Strong knowledge of deep learning model optimization techniques, such as pruning, quantization, knowledge distillation, and reasoning optimization.
• Experience in sustainability topics is highly desirable.
• Familiarity with hardware/software co-design principles and methodologies is considered a plus.
• Fluent in English is a must; knowledge of additional European languages (German, Dutch, Spanish, French, or Italian) is a plus.
  
  

Soft Skills

• Self-motivated, humble, and driven with a passion for tackling complex AI challenges.
• Strong communicator who values honesty, integrity, and collaboration.
• Effective team player in a multidisciplinary environment.
  
  

What We Offer?

• Join an innovative team and experience company growth.
• We believe in investing in our employees and providing them with opportunities for growth and career development.
• Work in a hybrid environment with flexible scheduling.
• We offer a remuneration that values your experience.
• A chance to work at one of the most transformative AI and silicon engineering companies in Europe.
• The position will be based Barcelona (Spain).
  
  

We are looking for outstanding people willing to join our mission to change the silicon industry and help build a better world. If you feel identified with

Openchip, please contact us. At Openchip & Software Technologies S.L., we believe a diverse and inclusive team is the key to groundbreaking ideas. We foster a work environment where everyone feels valued, respected, and empowered to reach their full potential – regardless of race, gender, ethnicity, sexual orientation, or gender identity.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada25 ene.

. Machine Learning

Biological sciences » Biological engineering

Engineering » Chemical engineering

Organisation/Company CSIC Research Field Biological sciences » Biological engineering Engineering » Chemical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 31 Mar *********:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jun **** Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number ********* Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Objectives

Improve the biomanufacturing efficiency through a combination of advanced computational and experimental techniques (in model organisms such as P. pastoris and C. necator), along with AI-driven tools for bio-retrosynthesis-based metabolic pathway design, enzyme design and optimization, and DNA part selection.

Knowledge-graph-based combinatorial experiment designs are used to span multiple scales, while Multiobjective optimization strategies ensure improvements in efficiency across various biomanufacturing scales.

Expected Results

Development of innovative bio-based production methods tailored to meet specific target property requirements. These methods will leverage new-to-nature metabolic pathways, ensuring the efficient production of food ingredients and proteins.

A multi-scale strategy will be implemented to design and optimise these metabolic pathways, integrating insights from various biological scales.

Where to apply

E-mail ******

Requirements

Research Field Technology » Biotechnology Education Level Master Degree or equivalent

Research Field Biological sciences » Biological engineering Education Level Master Degree or equivalent

Research Field Engineering » Chemical engineering Education Level Master Degree or equivalent

Skills/Qualifications

Candidates should hold a degree in biotechnology, synthetic biology, systems biology, applied mathematics (or a related subject area), be interested in biomanufacturing in biofoundries, and have technical skills in computer programming and basic knowledge of mathematical models for systems and/or synthetic biology. A secondment at the Technical University of Berlin, Germany, lasting a total of six months, is an integral part of the PhD program.

Languages ENGLISH Level Good

Additional Information

A comprehensive, interactive and international training programme covering the broader aspects and interface between life science, data science, artificial intelligence and humanities and social sciences, as well as transferable skills

An enthusiastic team of professionals to co-operate with

Personal Career Development Plan (PDCP) to prepare young researchers for their future careers

Each DC will undergo individual training at individual institutes according to the PCDP description

An attractive compensation package in accordance with the MSCA-DN programme regulations for doctoral candidates. The exact salary will be confirmed and will be based on a living allowance of ****€/month (correction factor to be applied per country) + mobility allowance of 600€/month. Additionally, researchers may also qualify for a family allowance of 660€/month, depending on the family situation. Taxation and social (including pension) contribution deductions based on national and company regulations will apply.

Eligibility criteria

Any nationality

Doctoral Candidate (DC): The applicant must not have been awarded a doctoral degree.

Mobility rule: The DC must not have resided or carried out main activity (work, studies, etc.) in the country of their host organisation for more than 12 months* in the three years immediately prior to the date of selection in the same appointing international organisation.

• EXCLUDED: short stays such as holidays, compulsory national services such as mandatory military service and procedures for obtaining refugee status under the General Convention.
  
  

Language: Applicants must demonstrate fluent reading, writing and speaking abilities in English (B2).

Selection process

FrameBio (Multiscale Frameworks for BioSolutions) is a project funded by the European Union with a goal is to revolutionise biotechnology by developing comprehensive computational modules that simulate the microbial behaviour of bioproducts and quantify/estimate their resource dependencies across various scales. This PhD position is part of a unique multidisciplinary Doctoral Network (15 partners and 10 countries) that will collaborate and train 13 PhDs in genomics, metabolomics, fermentation, process optimisation, data science, and sustainability assessments. This project has received funding from the Horizon Europe, Marie Sklodowska-Curie Actions (MSCA) grant (Grant agreement ID: *********, ).

Additional comments

Supervisors team

The

Dynamics Biodesign Lab (DBDL)

, led by Dr.

Pablo Carbonell

, creates innovative solutions for automated biofoundries, fostering sustainable industrial biotechnology across the bio-economy sectors. The lab combines synthetic biology, machine learning and biosensor and pathway dynamic regulation design to produce next-generation bio-based chemicals.

The

Computational Synthetic Biology group (CSBG)

, led by Dr.

Irene Otero-Muras

, works on the design, analysis and control of biomolecular networks: nonlinear, complex systems – sometimes subject to significant molecular noise – with relevance in cell regulation, signalling and metabolic processes. The research aims to advance fundamental understanding and address innovative applications for systems and synthetic biology.

The

Biotechnology of Industrial Yeasts Laboratory

of I2SysBio, led by Dr.

Agustín Aranda

, deals with the use of different species of yeast of biotechnological interest, mainly Saccharomyces cerevisiae during winemaking. We are focused on regulatory systems as stress response (mainly oxidative) and nutrient signalling pathways, and we use genetic manipulation to characterise such mechanisms in conditions that mimic industrial environments.

The

Spanish National Research Council (CSIC)

is the largest public research organisation in Spain and one of the most important in the European Research Area (ERA). It is the main player in the Spanish Science, Technology, and Innovation System and is currently made up of over 13,200 people. These individuals are distributed between the CSIC Corporate Organisation, 121 research institutes, and three national centres located throughout Spain, as well as an institute in Rome. The CSIC conducts research in three core areas: Society, Life, and Material, which cover most academic disciplines. In March ****, the CSIC was among the institutions awarded the 'HR Excellence in Research Award'. The DC will be enrolled in the "Institute for Integrative Systems Biology . The DC will be enrolled in the Science and Technology Programme, Biosciences area, offered by the Menendez Pelayo International University.

#J-*****-Ljbffr

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada24 ene.

. Python AWS Big Data Machine Learning

¡ÚNETE AL EQUIPO COMO IA ENGINEER!

¿Quieres formar parte de una organización que apuesta por el cuidado de las personas y su crecimiento personal y profesional? ¿Te apasiona el mundo del desarrollo y te gustaría afrontar nuevos desafíos? ¡Únete a Kairós!

¿Quiénes somos?

Somos Empresa Great Place To Work desde 2019 por quinto año consecutivo, ocupando el 5 lugar en el año 2024 gracias a nuestros valores, nuestra cultura y a los beneficios e iniciativas internas que lanzamos centradas en las personas

Acompañamos a nuestros clientes en proyectos de transformación tecnológica y ágil. Trabajamos en equipos organizados por disciplinas y en squads multidisciplinares en proyectos muy diversos (retail, investigación sanitaria, banca, seguridad, movilidad…).

Aunque hemos crecido mucho en el último año, no queremos olvidarnos de nuestra esencia, centrados siempre en las personas: hacemos seguimiento personal constante con el equipo técnico y de Talento. Además, apostamos siempre por la transparencia y la claridad.

Estamos en España, México y Perú. En Kairós encontrarás proyectos en los que podrás trabajar desde casa, ¡sin perder la cercanía con el resto del equipo!

¿Qué estamos buscando?

En Kairós buscamos un IA ENGINEER para incorporarse al equipo lider en el sector bancario, el proyecto abordará creación de asistentes de IA para generación y automatización de tareas de campañas de marketing y generación de contenido.

Nuestra capacidad de Data & IA es la de más reciente creación. Con credenciales dentro del ámbito de la salud, la ciencia e investigación, medio ambiente y proyectos en banca y seguridad, está liderada por Inés Huertas y crece incorporando perfiles diversos, con mucho que aportar.

En nuestra disciplina abordamos todo el ciclo de vida, desde la parte de diseño y convergencia de datos a expertos en explotación de datos con BI o Ingenieros de IT. Trabajamos en proyectos de IA generativa, algoritmos de predicción, creación de plataformas de Big Data y generación de cuadros de mando, rodeándote de Kairoseros y Kairoseras con roles cómo Machine Learning Engineer, Data Engineer, Data Scientist, Data Analytics y Data Visualization.

Requisitos:

• Experiencia desarrollando agentes de IA
• Experiencia en soluciones basadas en RAG de asistentes IA
• Experiencia con modelos LLMs (Hugging face o Open AI ....)
• Experiencia en programación con Python
• Experiencia implementando soluciones IA con guardrails
• Deseable: Expereincia en AWS
• Al menos 1 año de experiencia trabajando con IA generativa
  
  

En Kairós encontrarás:

• Bolsa individual de formación de 1.750 euros, formación continua corporativa y certificaciones técnicas.
• Clases de inglés gratuitas, en grupos reducidos.
• 23 días de vacaciones, 24 y 31 de diciembre libres, 1 día para eventos y ¡3 días de libre conciliación!
• Disfrutar del verano con nuestra jornada reducida en agosto y horario intensivo todos los viernes del año.
• Retribución flexible a través de Cobee, para hacer uso en restauración, transporte público, formación y ticket guardería.
• Seguro médico con Cigna o Sanitas: nos preocupamos de tu salud física y mental.
• Acompañamiento personal continuo a través de nuestro programa Wellness 3.0 y mentoring técnico constante.
• Fortalecimiento de tu marca personal en eventos internos y externos.
• Formar parte de una gran comunidad y contar con el apoyo de personas increíbles y referentes dentro del sector.
• Pero sobre todo... ser parte de una empresa donde se te escucha, se te cuida y donde intentamos hacer todo lo posible por cubrir tus necesidades y expectativas.
  
  

Vas a encajar genial si te gusta aprender, compartir tu conocimiento y tratas a la gente con respeto y cariño. Si eres una persona interesada en participar en una cultura abierta, transparente y de confianza y si además, tienes capacidad de organización, responsabilidad y compromiso.

#TRY #THINK #FEEL #ENJOY



En Kairós creemos firmemente en la importancia de la igualdad y la diversidad en el lugar de trabajo. Estamos comprometidos a crear un entorno inclusivo y respetuoso donde todos los empleados se sientan valorados y tengan la oportunidad de alcanzar su máximo potencial, independientemente de su raza, color, religión, género, identidad o expresión de género, orientación sexual, origen nacional, genética, discapacidad, edad o cualquier otra característica protegida por la ley.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada24 ene.

Teletrabajo . Scrum Cloud Coumputing IoT Agile Kanban Big Data Machine Learning

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Fecha: 26 dic 2025

Ubicación: MADRID, ES

Empresa: Telefónica

¿QUÉ ES TELEFONICA TECH?

Telefónica Tech es la compañía líder en trasformación digital del Grupo Telefónica. Contamos con una amplia oferta de servicios y soluciones tecnológicas integradas de Ciberseguridad, Cloud, IoT, Big Data, Inteligencia Artificial y Blockchain, con la que acompañamos a nuestros clientes en su transformación digital.

Somos un grupo de más de 6200 personas valientes que trabajamos a diario desde distintos puntos del mundo para alcanzar la excelencia, a través de un liderazgo basado en la transparencia y en el espírItu de equipo. Si te identificas con nuestros pilares, ¡estamos deseando conocerte!

www.telefonicatech.com

¿QUÉ HACEMOS EN EL EQUIPO?

En la unidad de IA&Analytics de Telefónica Tech ofrecemos servicios de consultoría tecnológica desarrollando soluciones de Inteligencia Artificial y analítica avanzada en el ámbito público y privado. A través de los servicios profesionales, AI&Analytics pretende mantener e impulsar el crecimiento del negocio basado en la excelencia en la ejecución y satisfacción del cliente.

Se busca un perfil Project Manager en Inteligencia Artificial y Datos para liderar, planificar, coordinar y entregar iniciativas de IA y analítica avanzada, asegurando el cumplimiento de objetivos de negocio, calidad técnica y adopción operativa.

¿CÓMO SERÁ TU DÍA A DÍA?

Será responsable de garantizar la entrega exitosa de proyectos, desde la planificación hasta la ejecución, manteniendo un enfoque en la calidad, el cumplimiento de plazos y presupuesto, así como la alineación con los objetivos estratégicos del negocio. Gestionar al cliente y al equipo de trabajo, identificando los riesgos derivados de la ejecución y velando por el cumplimiento de los requerimientos comprometidos en el proyecto y con el cliente. El rol actúa como nexo entre negocio, tecnología y datos, garantizando que las soluciones de IA se desarrollen de forma eficiente, escalable y alineada con la estrategia de la organización.

En su día a día realizaras principalmente:

• Liderar proyectos de IA & Data de extremo a extremo: definición, planificación, ejecución, despliegue y seguimiento. Gestión de proyectos para empresas públicas y privadas. Serán principalmente proyectos de digitalización, transformación digital e implantación de nuevas tecnologías y herramientas.
• Coordinación y dirección de proyecto, gestión del equipo de trabajo (interno o con proveedores) y gestión del cliente. Coordinar equipos multidisciplinares, incluidos desarrolladores, analistas de datos, data scientists y expertos en IA.
• Colaborar con el líder técnico en la definición del enfoque y velar por el cumplimiento del alcance. Análisis de requerimientos y adecuación al proyecto, planificación de proyecto, coordinar y organizar el proyecto.
• Responsable de la ejecución del proyecto, seguimiento interno y con cliente, gestión de riesgos y propuesta de planes de mitigación.
• Seguimiento de los KPIs y control económico del proyecto. Controlar el cumplimiento de la rentabilidad, los hitos y las especificaciones de los proyectos que se llevan a cabo, en especial, llevar el control y análisis de las desviaciones económico de la cartera de proyectos.
• Identificar, solucionar y escalar los problemas que surjan en relación con la ejecución de los proyectos.
• Coordinar y movilizar a las áreas implicadas en la realización y puesta en marcha de los proyectos. Facilitar la comunicación entre stakeholders técnicos y no técnicos.
• Gestión de proveedores que participan en el equipo de trabajo y compras relacionadas.
• Control de la facturación.
• Estructuración de procesos, plan de trabajo y operaciones.
  
  

Y PARA ELLO, CREEMOS QUE SERÍA IDEAL QUE CONTARAS CON…

Experiencia

Buscamos profesionales con experiencia liderando iniciativas de datos, analítica avanzada o IA en entornos de consultoría, capaces de asumir la coordinación y entrega de proyectos complejos, aunque su rol previo no haya sido estrictamente de Project Manager.

Deseable experiencia en roles similares a los siguientes:

• Project Manager (Tech Project Manager o Business Project Manager).
• Senior Consultant o Manager en Data & Analytics.
• Product Owner o roles afines.
• Experiencia deseada en consultoría tecnológica o de negocio en el ámbito de los datos, analítica e inteligencia artificial.
  
  

Formación

• Formación académica: Grado en Ingeniería Informática, Telecomunicaciones, Matemáticas o equivalente.
  
  

Valoraremos

• Valorable máster en gestión de proyectos o especialización en IA & Datos.
  
  

Conocimientos técnicos

Necesitamos que conozcas:

• Metodologías ágiles, híbridas o tradicionales (Scrum, Kanban, SAFe, PMI) y deseable y certificación asociada (PMI, PMP, Scrum Master o similar).
• Gestión de roadmap, dependencias y planificación en entornos complejos.
• Experiencia en proyectos de transformación digital, IA o analítica avanzada.
• Conocimiento del ciclo de vida de proyectos de IA: datos, desarrollo de modelos, validación, despliegue y monitorización.
• Comprensión de conceptos clave: Machine Learning, modelos predictivos, IA generativa, calidad de datos, sesgos y monitorización.
  
  

IDIOMAS

• Ingles B2+
  
  

Para desempeñar el rol, las skills que encajarían con el equipo y el proyecto serían:

• Orientación a resultados y al cliente
• Capacidad para interactuar con equipos técnicos, sin necesidad de desarrollo profundo
• Gestión de la incertidumbre y entornos de alta complejidad. Deberá tener adaptabilidad ante cambios imprevistos, propios del trabajo mediante proyectos.
• Capacidad de priorización y toma de decisiones.
• Pensamiento crítico y enfoque a resolución de problemas.
• Gestión de equipos internos y proveedores
• Capacidad para trabajar en equipo
• Proactividad
• Buenas habilidades de comunicación
• Orientación a resultados
  
  

¿QUÉ OFRECEMOS?

• Medidas de conciliación y flexibilidad horaria.
• Formación continua y certificaciones.
• Modelo híbrido de teletrabajo.
• Atractivo paquete de beneficios sociales.
• Excelente ambiente de trabajo dinámico y multidisciplinar.
• Programas de voluntariado.
  
  

#SomosDiversos #Fomentamosigualdad

Estamos convencidos/as de que los equipos diversos e inclusivos son más innovadores, transformadores y consiguen mejores resultados.

Por ello promovemos y garantizamos la inclusión de todas las personas sin importar género, edad, orientación e identidad sexual, cultura, discapacidad o cualquier otra condición

¡Queremos conocerte! 😊

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