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Senior Research Scientist - Paris or London
Dataiku
The AI Lab of Dataiku is looking for a research scientist knowledgeable in causality. See the link for a full description of the job.
Link: https://www.dataiku.com/company/careers/0fcfc20c-afc5-45a4-91f6-5620a2bc10c5/
Data Scientist - Recommendations and Personalisation
Farfetch
Farfetch is building the next-generation intelligent platform for online luxury fashion, powered by large-scale data and state of the art Machine Learning, Deep Learning and Computer Vision algorithms. You will join a talented team of Data Scientists and Engineers to help build and optimize, through research and experimentation, our personalisation products. Your main goal is to enable the use of personalisation for every service across the Farfetch platform, as an example, you will participate in the development of personalised recommendations, rankings and search results.
[Please check the job link to more details]
Link: https://jobs.lever.co/farfetch/45b2d93e-5000-4969-b9c8-1a0fbd03c8a6?lever-via=ORv6UfjJkq
Machine Learning Researcher
Sintef Digital
We are looking for a machine learning researcher. We consider also student with almost completed PhD.
Link: https://www.sintef.no/en/digital/
Postdoctoral researcher in recommender systems for species distribution modeling
University of Helsinki
I'm looking for a postdoc to work on method development for ecology applications. The position is for two years within a nationally funded project.
Scientist/Postdoc
Qatar Computing Research Institute
Qatar Computing Research Institute (QCRI), an independent institute within Hamad Bin Khalifa University, Qatar Foundation is a world-class computer science research entity. We are looking for applicants for the position of Scientist and postdoc with expertise within the AI and Data Science (AI&DS) research spectrum. We especially welcome applications in machine learning and AI systems with applications in healthcare.

The responsibilities of a Scientist includes conducting research at the frontier of their discipline, fostering research collaboration and technology transfer with end-users of AI&DS systems, community outreach and service to the discipline.

Candidates must have completed PhDs at the time of application.
Link: None
(Closing soon!) Postdoc, Integrating Learning, Optimisation and Reasoning for Trustworthy AI (TAILOR)
University of Bristol
This position is of particular interest for people with postdoctoral experience who are looking to diversify their skill set in preparation for an academic position. Working closely with Prof Peter Flach, the successful candidate will have a unique opportunity to participate in cutting-edge AI research, collaborate with leading European AI labs, and help develop AI-powered collaboration tools and training platforms.
Link: https://www.bristol.ac.uk/jobs/find/details/?jobId=252374&jobTitle=Research%20Associate%20or%20Senior%20Research%20Associate%20on%20Integrating%20Learning%2C%20Optimisation%20and%20Reasoning%20for%20Trustworthy%20AI
Research Software Engineer in Interactive AI
University of Bristol
Looking for your next opportunity, and interested in AI and technology-supported learning? Then apply for this exciting Research Software Engineer job and join a world-class team in Interactive AI!

You will play a key role in realising the CDT’s ambition to be a leader in technology-supported learning, by implementing innovative software solutions to support PhD training. Using the latest technology platforms and tools, combined with bespoke software development, you will build an integrated computational environment that (i) supports the collaborative development and deployment of Interactive AI pipelines and workflows; (ii) facilitates and promotes reproducibility and reusability; (iii) allows PhD students to build on and extend each others’ work; (iv) gives students the opportunity to maintain a portfolio of their work; and (v) facilitates using the research results for dissemination, outreach and publicity. In addition, the post holder will provide technical support for the research carried out by the PhD students and associated academics in the CDT.
Link: http://www.bristol.ac.uk/cdt/interactive-ai/
Postdoc researcher in explainable machine learning and survival analysis at KU Leuven, Belgium
KU Leuven
The research group ITEC at KU Leuven, campus Kulak in Kortrijk, and imec, is looking for a postdoc to carry out strategic basic research in the intersection of machine learning and survival analysis with potential applications and impact in the field of education (technology-enhanced personalized learning) and in the field of health (personalized medicine).
Link: https://www.kuleuven.be/personeel/jobsite/jobs/60061787
Research Scientist – Artificial Intelligence
Schlumberger Cambridge Research
The Automation and Planning program at Schlumberger Cambridge Research is focused on developing symbolic and model-based approaches to AI, with an emphasis on the underlying physics models. The research of the group is early-stage applied research that feeds into Schlumberger engineering worldwide where it is adopted into engineering solutions such as DrillOps Automate and supports the Schlumberger vision to define and drive high performance, sustainably by creating amazing technology that unlocks access to energy, for the benefit of all.
Link: https://careers.slb.com/jobaddetail.aspx?id=46403
Artificial Intelligence & Machine Learning Data Scientist
Schlumberger
The Artificial Intelligence & Machine Learning Data Scientist helps develop software and processes that can be used for artificial intelligence programs and applications. In close collaboration with the business and métiers, the data scientist offers mathematical and statistical models from the collected data to augment, assist or accelerate human decisions within the Oil & Gas and new Energy sector. With Schlumberger you will be given the opportunity to apply your expertise and deploy AI solutions at scale on real-world problems, supporting many areas of Schlumberger’s business. Today the Embedded AI Lab team is working on projects from more than 15 locations around the world. As part of the Schlumberger AI Lab, you will benefit from a balance of Internal Intellectual Property and Opensource contribution on the different projects and problems tackled. Schlumberger is the first Oil & Gas service company to move its processes and workflows in the cloud. This gives the Embedded AI Lab the perfect opportunities to leverage these innovative technologies and resources. As part of the Embedded AI Lab you will be able to test, experiment and research with bleeding edge.

The responsibility includes tight collaboration with the business as part of scrum teams of two or three data scientist and business subject matter engineers. You will be in charge of applying research and delivery of Proof of Concepts solutions, responding to a clear and specific business needs.
Link: https://careers.slb.com/jobaddetail.aspx?id=47122
PostDoc in decision-focussed learning or preference learning for combinatorial optimisation, KU Leuven
KU Leuven

Part of Tias Guns' 5-year ERC Consolidator grant "Conversational Human-Aware Technology for Optimisation", which aims to build next-generation constrained optimisation techniques that learn from the user and the environment, and that allow for explainable, interactive solving.

Key challenges are in decision-focussed learning (integrating combinatorial optimisation/discrete optimisation reasoning techniques in neural network learning)
and preference learning (learning user preferences over an exponential number of candidates, e.g. preferences in vehicle routing, Amazone last mile challenge, in scheduling etc).

Vacancy closes 30/09, but more opportunities available afterwards, contact Tias by mail for more info.
Link: https://www.kuleuven.be/personeel/jobsite/jobs/60039993
Postdoc
Orange
Forecasting methods with exogenous variables for international roaming traffic - 12 months

Description here in French but English applications accepted
Link: https://orange.jobs/jobs/offer.do?joid=102232&lang=EN
Postdoc Forecasting methods with exogenous variables for international roaming traffic (12 months )
Orange
Description here in French :https://orange.jobs/jobs/offer.do?joid=102232&lang=EN

but English applications accepted
Link: https://orange.jobs/jobs/offer.do?joid=102232&lang=EN
Data Science Design Engineer
ASML
Are you the hands-on/experienced data engineer that can implement and maintain complex Big Data architectures? Are you able to apply the cutting-edge technologies and tools to build Big Data pipelines? Do you have the drive to exceed customer expectations, then read on!
This position requires access to controlled technology, as defined in the Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.
Link: https://www.asml.com/en/careers/find-your-job/2/9/8/data-science-design-engineer-guaranteed-sign-on-bonus-and-relocation-req29805
Data Science Technical Specialists
ASML

You participate in a high skilled team to identify potential risks and threats to the organization by bringing your deep understanding of data and the ways we can uncover patterns in that data to the team. By leveraging your cross-domain knowledge of ML/AI concepts and implementations you help us to identify, monitor, assess, and counter the threats posed by malicious cyber actors against our information systems, infrastructure and cyber-related interests. You are a mentor and coach and grow junior team members. We expect you to help validate commercial solutions on their ML/AI claims and ensure maximum yield on investments. In this role you help shape the future of Cyber Defense at ASML specifically Anomaly Detection as a competence with ample space to develop and grow the solutions.
Link: https://www.asml.com/en/careers/find-your-job/2/5/4/data-science-technical-specialist-subject-matter-expert-anomaly-detection-req25458
Sr Product Engineer - Machine Learning
ASML

We are looking for a highly motivated, hands-on technical individual to join the Machine Learning team for our state of the art Optical Proximity Correction (Tachyon OPC+) product. This position will be in our OPC PEG (Product Engineering Group) organization.
Link: https://www.asml.com/en/careers/find-your-job/2/4/2/sr-product-engineer-machine-learning-req24268
Senior Researcher on Knowledge Representation and Reasoning
ASML
We are looking for a Researcherto join the Data-Science Research team. One of the research topics is looking into ways to bring service and diagnostics of complex systems to the next level, by applying Artificial Intelligence (i.e. Knowledge Extraction/Representation) and combining it with system diagnostic data to support reasoning.

Link: https://www.asml.com/en/careers/find-your-job/1/7/0/senior-researcher-on-knowledge-representation-and-reasoning-req17066
Postdoc(s) in ML/AI @ University of Bristol
University of Bristol
We have a number of postdoc positions available in human-centric ML/AI at the University of Bristol. Please get in touch if you want to know more.

https://www.jobs.ac.uk/job/CIU825/research-associate-senior-research-associate-in-machine-learning-and-artificial-intelligence-multiple-positions
Link: https://www.jobs.ac.uk/job/CIU825/research-associate-senior-research-associate-in-machine-learning-and-artificial-intelligence-multiple-positions
PostDocs on Robust Evaluation of Cognitive Capabilities and Generality in AI
University of Cambridge
The Leverhulme Centre for the Future of Intelligence (CFI) invites applications for a Postdoctoral Research Associate to work on the RECOG-AI project. RECOG-AI is a two-year DARPA-funded project on the Robust Evaluation of Cognitive Capabilities and Generality in Artificial Intelligence. The main objective of the project is to improve AI evaluation by providing a framework and benchmarks for measuring the capabilities of AI systems. The work will be drawing from multiple disciplines, but primarily from computer science, and animal and human psychology. The appointment will be for 21 months in the first instance, and is based in Cambridge, UK. There are two postdoctoral positions available. Candidates should have (or be about to achieve) a PhD in a relevant field and should provide strong evidence of potential for research and publication at the highest level, as well as strong interest in engagement with the cognitive sciences. The appointee will also play an important role in the project's interdisciplinary activities, including discussion groups and workshops. The following backgrounds and experiences will be an advantage, either independently or in combination: Psychology/Cognitive Science/Animal Behaviour, Expertise in AI, and particularly in areas of machine learning such as (deep) reinforcement learning, multimodal models, causal models, etc. and coding/Game Development and experience with Unity. This is a highly interdisciplinary project, and we are seeking a combination of these skills in the team. However, we do not expect any given candidate to have experience in all fields. The posts are *forthcoming*, so please keep an eye on jobs.ac.uk or contact us in the following weeks.
Link: http://lcfi.ac.uk/projects/kinds-of-intelligence/recog-ai/
Two postdoc positions in data mining / machine learning with graphs, sequences...
Shenzhen University
I have two post-doc positions that are OPEN in my research team at Shenzhen University, China.
=== Topic ===
data mining or ML algorithms for processing graphs, sequences, streams or other complex data
=== Benefits =====
- Very good salary (up to 300k to 400k RMB / year depending on the profile)
- work in an excellent research team and top university
- 2 years contract
=== Requirements ===
- have published papers in good journals or conferences during your Ph.D as main author (papers in unknown journals/conferences or with unknown or predatory publishers do not count)
- be less than 35 years old (requirement of the university - I have no control on this)
- be very motivated, and able to produce high quality papers
- if you are not in China already, you must be in a country where a visa can be obtained for China
=== How to apply? ===
- Send me an e-mail with your CV to philfv@szu.edu.cn. Make sure that your CV includes your age and the list of your publications.
- Tell me when you would be ready to start, and other relevant information
Link: https://www.philippe-fournier-viger.com/
Applied Scientist- Machine Learning
Amazon.com
Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Connect with us today to learn more about the research teams and opportunities at Amazon.
Link: https://www.amazon.jobs/en/landing_pages/consumer-scientist-jobs
PhD student: Machine learning and interactive visualization for single-cell data
Ghent University
The DAMBI (VIB & Ghent University) and AIDA (Ghent University IDLab) research groups are looking for 1 or 2 qualified and motivated candidates to develop machine learning methods and visualization techniques for the analysis of biological data, such as single-cell data, in the direction of using prior knowledge in data analysis. The project sits at the interface of Machine Learning, Visual Analytics, and Biomedical applications. Up to two fully funded positions as PhD student (4 years) are available.

See https://users.ugent.be/~jlijffij/advert-DAMBI-AIDA-2021.pdf for more information.
Link: https://users.ugent.be/~jlijffij/advert-DAMBI-AIDA-2021.pdf
Assistant Professor in Artificial Intelligence for Decision Making
TU Eindhoven
We are looking for an expert in data-driven optimization and intelligent decision support through methods of Artificial Intelligence/Machine learning, for application domains such as logistics, transportation, service industries, high-tech manufacturing, and healthcare. Please see the job link (https://jobs.tue.nl/en/vacancy/assistant-professor-in-artificial-intelligence-for-decision-making-888248.html) for details. Thanks!
Link: https://jobs.tue.nl/en/vacancy/assistant-professor-in-artificial-intelligence-for-decision-making-888248.html
PhD position: Reinforcement learning-aided unfairness verification on web
Scool (previously SequeL) team, Inria
The goal of this PhD is to investigate how unfair services on the web can be detected. In Scool, we have studied fairness verification problem for offline machine learning algorithms. In this project, we aim to study it as a sequential decision problem under uncertainty, and to extend methods from reinforcement learning and/or multi-armed bandits. The goal of this PhD is to investigate and develop algorithmic solutions that can be used in practice.

This is a part of Inria’s endeavour in collaboration with French government to regulate unfairness and bias in services provided through digital platforms:
https://www.inria.fr/en/regulation-digital-platforms-pere-regalia
Link: None
Post Doc in Applied Machine Learning
The University of British Columbia
he Department of Computer Science and the School of Engineering (https://www.ok.ubc.ca) at The University of British Columbia, Canada invites applications for two postdoctoral positions at its Okanagan campus. One of the positions will be primarily at the Intelligent Data Science Lab, while the other will be jointly co-supervised by the Materials and Manufacturing Research Institute (MMRI) which is a multidisciplinary, interdepartmental research hub at the University of British Columbia (UBC) fostering collaboration between local, national and international R&D sectors. The latter position is funded by the UBC Eminence Cluster program. These Clusters of Research Excellence are interdisciplinary networks of researchers focused on solving key challenges facing society. The position is initially open for 1 year but extendable upon the availability of funding and performance.
Link: http://anarayan.com
4 PhD Positions in Robust Machine Learning
The University of British Columbia or University of Waterloo, Canada
We are looking for talented and highly motivated computer scientists (or people with a related background) interested in the design, development, and analysis of novel machine learning methods.
Robust and adversarial machine learning
Meta Learning/Few Short Learning
Machine learning for graphs / geometric deep learning
Transfer learning
ML models for temporal data (e.g. event sequences)
Anomaly and outlier detection
Uncertainty in ML
The developed methods will be applied and evaluated in various domains such as the natural sciences, the field of engineering, and the web.

Candidate Skills & Profile
University degree (M.Sc.) with very good grades in Computer Science or related fields.
Strong background in machine learning / data mining and statistics.
Strong programming skills in at least one programming language (preferably Python and with experience in TensorFlow, PyTorch or similar).
Good English language skills (your responsibilities include to write publications, and to give international presentations).
Link: http://anarayan.com
Postdoc opportunities funded by Marie Curie through NeuroInsight
Insight
MSCA-COFUND: "Advanced Skills for Data Analytics in
Neurological Diseases"
Call Opens: October 2021
Link: https://neuroinsight.eu
Postdoc: AI & ML for smart grid
Ghent University
I am looking for a post-doc in my AI for smart grid (AI4SG) team. We're working mostly on reinforcement learning to exploit flexibility in energy, and time series processing, e..g, for flexibility characterization in energy consumption, anomaly/fault detection.
You would perform research, co-supervise PhD students, (co-)manage our contributions to research projects (we recently started 4 new H2020 projects), supervise MSc theses.

Drop me an email if you're interested!
Link: http://users.atlantis.ugent.be/cdvelder/
Senior/Principal Researcher in Machine Learning and NLP
Fujitsu Research of Europe (FRE)
We are looking for Researchers in our Artificial Intelligence Research Group working on innovations in medical industry as part of a Global research team. Your role will involve a scientist in Machine Learning and NLP fields, who delivers novel algorithms to solve unexplored tasks on mixture of data including medical images, clinical records, and chemical/molecular.
This role will report into AI Research Group Manager and be part of AI Laboratory in our Global Laboratory structure.

Your experience:
You will be able to demonstrate that you have:
A PhD or similar Post-Graduate qualification in a relevant field
Strong communication and interpersonal skills
Adaptable, willing to learn new fields and develop new skill sets.
Experience of supporting projects to successful outcomes
Expertise of one or more of the followings but not limited to: theory and practice on advanced Machine Learning as well as NLP

Shape your world and achieve together
We want the best people on our team, so we welcome and encourage applications from people with a diverse variety of experiences, backgrounds and identities. The role may demand some travel and flexibility to meet business needs, within a culture of respect for professional and private commitments. We are committed to equality of opportunity for all.
Senior/Principal Researcher for Ethics AI
Fujitsu Research of Europe (FRE)
We are looking for a Researcher in our AI Research Group working on human-centric AI innovations as part of a Global research team. Your role will involve: development of advanced Machine Learning algorithms aware of fairness and biases, collaboration with academic partners to innovate industries by human-centric AI, designing and growing an open platform that makes society sympathetic to AI Ethics.
This role will report into AI Research Group Manager and be part of Research Center of AI Ethics in our Global Laboratory structure. You will be able to demonstrate that you have: A PhD or similar Post-Graduate qualification in a relevant field; strong communication and interpersonal skills; adaptable, willing to learn new fields and develop new skill sets; experience of supporting projects to successful outcomes; expertise of one or more of the followings but not limited to: theory and practice of Machine Learning, particularly causality and ethical algorithms, mathematics on social dynamics, behavioral economics, and game theory; sophisticated development skills using ML toolkits (e.g. Jupyter, scikit-learn, PyTorch), hopefully as well as fairness toolkits (e.g. AIF360). We want the best people on our team, so we welcome and encourage applications from people with a diverse variety of experiences, backgrounds and identities. The role may demand some travel and flexibility to meet business needs, within a culture of respect for professional and private commitments. We are committed to equality of opportunity for all.
Research position for Computer Vision
Fujitsu Research of Europe (FRE)
We are looking for a permanent Researcher / Senior Researcher in our AI Group working on exploring how information technology systems can evolve to manage and enhance modern life. The Division’s current activities are centred on the research & development of new AI technologies and their applications for advancing various vertical markets such as, for example, Engineering and Manufacturing sectors. Your role will involve: The development of new deep learning based computer vision techniques, with a focus of object detection in point clouds; technical leadership and working closely with Fujitsu Global R&D groups, academic & industrial partners and government research institutions to develop the required technologies; publishing in top academic conferences and submitting patent applications.
You will be able to demonstrate that you have: experience with one or more Deep Learning framework (PyTorch preferred) for Computer Vision applications; high proficiency in one or more programming languages (Python preferred); ability to express ideas in proof of concept and production quality code; adaptability, willingness to learn new fields and develop new skill sets.
The following skills are optional but highly desirable: a track record of writing academic publications and/or patent applications; experience with Deep Learning techniques for Point Clouds; experience with or knowledge of Computer Aided Design.
We want the best people on our team, so we welcome and encourage applications from people with a diverse variety of experiences, backgrounds and identities. The role may demand some travel and flexibility to meet business needs, within a culture of respect for professional and private commitments. We are committed to equality of opportunity for all.
Dozens of Computer Vision positions hiring
Amazon.com
Amazon does large scale computer vision research for a wide variety of applications. Satellite imagery. Product imagery. Robotics. You name it. Here's a link to 140+ external Amazon publications in computer vision, to give you some idea of the options: https://www.amazon.science/publications?f0=0000016e-2fb1-d205-a5ef-afb9d52c0000&s=0 Scroll down & select computer vision on the left.
Link: https://www.amazon.jobs/en/internal/search?base_query=computer+vision&loc_query=
Amazon Academics & Scholars programs (got sabbatical coming up?)
Amazon
We hire world-class academics as Amazon Scholars and Amazon Visiting Academics to work on large-scale technical challenges, while they continue to teach and conduct research at their universities. It's a great way to apply your expertise to big problems and simultaneously to get access to big data on real problems that will expand your research horizon. And, yes, we publish: here's >300 external machine learning and robotics publications from Amazon: https://www.amazon.science/publications?f0=0000016e-2ff1-d205-a5ef-aff9651e0000&f0=0000016e-2ff2-d205-a5ef-affb0c670000&s=0
Link: https://www.amazon.science/academics-at-amazon
Postdoc position @ University of Turin
University of Turin
The Machine Learning and the Parallel Computing research groups (University of Turin) are looking for a postdoctoral researcher with experience in Federated Learning and Parallel Computing.

Applications are invited from candidates with a PhD in Computer Science, Engineering, or other related fields (e.g., Physics, Math, ...). Candidates are expected to have research expertise, especially in the fields of Machine Learning (better if they have specific experience in Federated Learning) or Parallel Computing (i.e., we are seeking candidates that either have experience in both fields, or have experience in one of the two fields and are willing to build experience in the other one).

The research will be framed within the activities of "The European PILOT" project.

The work will focus on developing SW libraries to support distributed training and inference of DNNs and feature extraction algorithms for video-based applications. The work will require a working knowledge about python and python deep learning libraries (specifically: PyTorch and Tensorflow).

The selection will be based on CV and a remote interview.

The position is for 2+2 years. The initial gross salary will range between 27k-33k euro per year before taxes (roughly equivalent to a salary varying between 1.6K and 2K euro per month after taxes).

For further information and to apply please contact Roberto Esposito (roberto.esposito@unito.it).

Link: https://alpha.di.unito.it/parallel-computing-research-projects/
PhD Position
University of Bochum
Full time PhD in the group Trustworthy Machine Learning at the University of Bochum, associated with the IKIM and the Uniklinik Essen. Topics include trustworthy federated learning, theory of deep learning, privacy and interpretability in (federated) machine learning, with applications in healthcare.

The goal is to develop novel, theoretically sound methods for trustworthy and privacy preserving federated learning in healthcare.
Postdoctoral fellowships
Aarhus University
In the Data-Intensive Systems research group in the Department of Computer Science at Aarhus University, Denmark, we are currently looking for postdocs interested in clustering algorithms, including for applications in biology or in chemistry, or with a focus on moving / efficient (GPU parallel) algorithms. If this sounds interesting to you, and you have published related work in top data mining, machine learning or data management venues, please reach out to Prof. Ira Assent, ira@cs.au.dk
Link: None
Researcher positions (junior and senior)
ELLIS Unit Alicante
The newly created ELLIS Unit of Alicante, Spain, is looking for postdocs, junior and senior researchers. ELLIS (The European Laboratory of Learning and Intelligent Systems) is a European non-profit association whose objective is to attract, retain and nurture the next generation of excellent researchers in Europe in machine learning and related topics. In addition to excellent research, ELLIS aims to have positive economic and societal impact. Two open calls in the Fall of 2019 and Spring 2020 led to the establishment of a network of 30 ELLIS units in 14 different countries. Together, these units bring together the best AI researchers at their locations and are connected with each other, creating a critical mass of excellent research centers across Europe and Israel.

The ELLIS Unit Alicante is a newly created non-for-profit Foundation called the “Institute for Human(ity)-centric Artificial Intelligence”. It is devoted to three large research areas:

Computational modeling of individual and aggregate human behavior using machine learning techniques, including the area of leveraging such models for social good.

Development of intelligent, interactive systems, and particularly intelligent mobile systems and personal assistants.

Human-centric challenges in AI, such as algorithmic discrimination and opacity, computational violation of people’s privacy, lack of veracity or the subliminal manipulation of human behavior.

The ELLIS Unit Alicante offers competitive salaries and a flexible working environment with no teaching load and close interactions both with universities and companies.

It is located in the University Campus of the University of Alicante, a beautiful mid-size Mediterranean city with sandy beaches, mild winters, excellent museums, international schools, a large international airport and world-class gastronomy.


Link: https://ellisalicante.org/job/researcher
Head of Operations
ELLIS Unit Alicante Foundation
The Alicante ELLIS Unit Foundation is a newly created nonprofit private foundation headquartered in Alicante, Spain, devoted to scientific research on human-centric Artificial Intelligence. Hence, its name “The Institute for Human(ity) Centric AI” (IHCAI). It is part of the network of 30 ELLIS units.

This is an exciting time to join the IHCAI as it is in its early days and the head of operations will have the opportunity to have significant impact in defining IHCAI’s culture and making it grow. This is a position reporting to the Foundation’s Director.
Link: https://ellisalicante.org/job/headops
Head of Legal
ELLIS Unit Alicante Foundation
The Alicante ELLIS Unit Foundation is a newly created nonprofit private foundation headquartered in Alicante, Spain, devoted to scientific research on human-centric Artificial Intelligence. Hence, its name “The Institute for Human(ity) Centric AI” (IHCAI). It is part of the network of 30 ELLIS units.

This is an exciting time to join the IHCAI as it is in its early days and the Head of Legal will have the opportunity to have significant impact in defining IHCAI’s culture and making it grow. This is a position reporting to the Foundation’s Director.
Link: https://ellisalicante.org/job/headlegal
Head of HR
ELLIS Unit Alicante Foundation
The Alicante ELLIS Unit Foundation is a newly created nonprofit private foundation headquartered in Alicante, Spain, devoted to scientific research on human-centric Artificial Intelligence. Hence, its name “The Institute for Human(ity) Centric AI” (IHCAI). It is part of the network of 30 ELLIS units.

This is an exciting time to join the IHCAI as it is in its early days and the HR manager will have the opportunity to have significant impact in defining IHCAI’s HR processes and culture and making it grow.
Link: https://ellisalicante.org/job/headhr
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