University of Amsterdam, Netherlands invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at University of Amsterdam, Netherlands.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Quantum Many-Body Physics with Ultracold Rb-Sr Mixtures and RbSr Molecules
Are you a eager to push quantum simulation to new levels in a lively, international research group? Our Strontium Quantum Gases Group is offering a PhD position on our RbSr project. Our group is headed by Prof. Florian Schreck and is part of the Quantum Gases & Quantum Information (QG&QI) cluster at the Institute of Physics (IoP) of the University of Amsterdam (UvA). We exploit ultracold Sr for quantum simulation, quantum sensing, and quantum computing. Our group is part of QuantumDelta NL, which brings quantum technology closer to applications by collaborating with industry, startups and users.
Deadline : 31 January 2024
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Quantum Simulation and Computing with Arrays of Single Sr Atoms
Our Strontium Quantum Gases Group is offering a PhD position on our Sr tweezer project. Our group is headed by Prof. Florian Schreck and is part of the Quantum Gases & Quantum Information (QG&QI) cluster at the Institute of Physics (IoP) of the University of Amsterdam (UvA). We exploit ultracold Sr for quantum simulation, quantum sensing, and quantum computing. Our group is part of QuantumDelta NL, which brings quantum technology closer to applications by collaborating with industry, startups and users.
Deadline : 31 January 2024
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(03) PhD Degree – Fully Funded
PhD position summary/title: Open Call for PhD Candidates
The Amsterdam Institute for Social Science Research (AISSR) at the University of Amsterdam is pleased to announce an exciting opportunity for prospective PhD candidates. We are inviting applications for five fully funded (salaried) PhD positions. We welcome proposals spanning the entire spectrum of social science disciplines, topics, and methods.
Our goal is to assemble a diverse and exceptional cohort of candidates. We aim to recruit candidates with a broad range of epistemologies, disciplines, and backgrounds. Successful applicants will have the opportunity to join the AISSR’s PhD program and embark on their individual research projects under the supervision of AISSR faculty members.
Deadline : 17 March 2024
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate studying early lineage decisions in embryonic development using 3D stem cell models
We are looking for an enthusiastic and intrinsically motivated PhD candidate who is eager to study how stem cells respond to developmental signals using gastruloids as a model system. The position is supported by a recently awarded starters grant and you will be embedded in the Developmental, Stem Cell and Cancer Biology group, which is part of the Swammerdam Institute for Life Sciences in the Faculty of Science at the University of Amsterdam. Research in our group aims to understand how complex tissues are built and maintained. We study this at multiple different levels – “from man or mouse to molecule” – and with a specific focus on embryonic signaling. See our website for more details.
Deadline : 31.01.2024
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Mathematical Modelling of Microbial Evolution
Many current challenges are related to the evolution of species: the spread of pandemics, extinction of species through climate change, and the rise of antibiotic resistance affecting treatment outcomes. Therefore, predicting evolutionary dynamics is highly relevant. Current approaches, such as fitness landscapes, often focus on a single organism, but the environment and communities that micro-organisms live in are highly relevant. As an example we can take antibiotic resistance evolution, which can emerge through the evolution of enzymes that degrade antibiotics. Those enzymes clear the environment of antibiotics and therefore alter the selection on its own population and that of cohabiting populations.
The group of dr. Meike Wortel focusses on developing mathematical and computational techniques to include the environment, including other species, in the analysis of evolutionary trajectories and apply this to antibiotic resistance evolution and the evolution of microbial communities. To achieve this, the group combines evolutionary approaches with systems biology, that links the intricate networks that make up cells to their overserved behavior at the cell level.
Deadline : 15.02.2024
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Position on Multimessenger Signals from Supernova
We seek a PhD student to work with a world-leading team on the neutrino and gravitational-wave signatures of core-collapse supernovae. The position will entail work on modeling of core-collapse supernovae via general-relativistic magnetohydrodynamics simulations with the open-source Einstein Toolkit, extracting the expected neutrino and gravitational-wave signals from the simulations, and characterizing the detectability of these signals in state-of-the-art neutrino detector data pipelines. The position will be jointly supervised by Dr. Philipp Mösta and Prof. Dr. Patrick Decowski and embedded at the University of Amsterdam and Nikhef.
Deadline : 31 January 2024
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate on Reinforcement Learning for Controlling Critical Infrastructure
How can AI contribute to safe and efficient operation of critical infrastructure? Infrastructure such as railways, the electric grid, and air traffic control faces increasing usage, making the networks harder to operate. In this project, you will investigate how machine learning methods can be used in such situations, possibly together with a human operator.
Recent success in applying deep reinforcement learning methods to e.g. Atari games or the boardgames of Go suggest that this technology is able to find complex strategy by learning from data obtained through trial and error. When applying such methods to critical infrastructure, new questions arise. Can machine learning tools be combined with conventional optimisers to improve safety and data efficiency? Can complex, structured decisions be made jointly by a human operator and an artificial agent? Can such algorithms deal with hierarchies in decision making, and how can decisions or models be explained and verified?
Deadline : 16 January 2024
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Code-Based Cryptography
Are you fascinated by the theoretical underpinnings of security that allow for protecting privacy in an ever more interconnected world? Are you willing to take on the challenge of upgrading cryptography to deal with the threat posed by quantum computation? Do you enjoy working in a team of young and motivated researchers? We are seeking a PhD student to carry out cutting-edge research in theoretical computer science, with an expected focus on code-based cryptography.
Cryptography’s task is to provide tools for maintaining the privacy and integrity of digital data. Unfortunately, almost all currently deployed public-key cryptography is known to be vulnerable if an attacker has access to a quantum computer. Given the near-term deployment of quantum computing technologies, the time to deploy post-quantum secure cryptography is now.
Deadline : 15 January 2024
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Position on Human-Aligned Video-AI for Diagnostic Training
Video AI holds the promise to explore what is unreachable, monitor what is imperceivable and to protect what is most valuable. New species have become identifiable in our deep oceans, the visually impaired profit from automated speech transcriptions of visual scenery, and elderly caregivers may be supported with an extra pair of eyes, to name just three of the many, many application examples. This is no longer wishful thinking. Broad uptake of video-AI for science, for business, and for wellbeing awaits at the horizon, thanks to a decade of phenomenal progress in machine deep learning. However, the same video-AI is also accountable for self-driving cars crashing into pedestrians, deep fakes that make us believe misinformation, and mass-surveillance systems that monitor our behaviour. The research community’s over-concentration on recognition accuracy has neglected human-alignment for societal acceptance. The HAVA Lab is an intern-disciplinary lab that will study how to make the much-needed digital transformation towards human-aligned video AI.
Deadline : 19 January 2024
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Position on Human-Aligned Video-AI for Skill Assessment
Video AI holds the promise to explore what is unreachable, monitor what is imperceivable and to protect what is most valuable. New species have become identifiable in our deep oceans, the visually impaired profit from automated speech transcriptions of visual scenery, and elderly caregivers may be supported with an extra pair of eyes, to name just three of the many, many application examples. This is no longer wishful thinking. Broad uptake of video-AI for science, for business, and for wellbeing awaits at the horizon, thanks to a decade of phenomenal progress in machine deep learning. However, the same video-AI is also accountable for self-driving cars crashing into pedestrians, deep fakes that make us believe misinformation, and mass-surveillance systems that monitor our behaviour. The research community’s over-concentration on recognition accuracy has neglected human-alignment for societal acceptance. The HAVA Lab is an intern-disciplinary lab that will study how to make the much-needed digital transformation towards human-aligned video AI.
Deadline : 19 January 2024
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD Position on Human-Aligned Video-AI for Responsible Business
Video AI holds the promise to explore what is unreachable, monitor what is imperceivable and to protect what is most valuable. New species have become identifiable in our deep oceans, the visually impaired profit from automated speech transcriptions of visual scenery, and elderly caregivers may be supported with an extra pair of eyes, to name just three of the many, many application examples. This is no longer wishful thinking. Broad uptake of video-AI for science, for business, and for wellbeing awaits at the horizon, thanks to a decade of phenomenal progress in machine deep learning. However, the same video-AI is also accountable for self-driving cars crashing into pedestrians, deep fakes that make us believe misinformation, and mass-surveillance systems that monitor our behaviour. The research community’s over-concentration on recognition accuracy has neglected human-alignment for societal acceptance. The HAVA Lab is an interdisciplinary lab that will study how to make the much-needed digital transformation towards human-aligned video AI.
Deadline : 19 January 2024
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Position on Alignment Between Video-AI and Human Cognition
Video AI holds the promise to explore what is unreachable, monitor what is imperceivable and to protect what is most valuable. New species have become identifiable in our deep oceans, the visually impaired profit from automated speech transcriptions of visual scenery, and elderly caregivers may be supported with an extra pair of eyes, to name just three of the many, many application examples. This is no longer wishful thinking. Broad uptake of video-AI for science, for business, and for wellbeing awaits at the horizon, thanks to a decade of phenomenal progress in machine deep learning. However, the same video-AI is also accountable for self-driving cars crashing into pedestrians, deep fakes that make us believe misinformation, and mass-surveillance systems that monitor our behaviour. The research community’s over-concentration on recognition accuracy has neglected human-alignment for societal acceptance. The HAVA Lab is an intern-disciplinary lab that will study how to make the much-needed digital transformation towards human-aligned video AI.
Deadline : 19 January 2024
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Position on Alignment Between Video-AI and Law
The HAVA Lab will host 7 PhD positions working together with researchers from all 7 faculties of the university, from video AI and its alignment with human cognition, ethics, and law, to its embedding in medical domains, public safety, and business. The lab has 9 supervisors in total spanning all 7 faculties of the university for maximum interdisciplinarity. Depending on the specific topic, the PhD students also have a strong link to the working environment and faculty of their respective supervisors. The HAVA Lab has been given a unique central location at the library, an ideal hub for interdisciplinary collaborations. The PI of the lab is prof. dr. Cees Snoek.
Deadline : 19 January 2024
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Position on Alignment Between Video-AI and Ethics
The HAVA Lab will host 7 PhD positions working together with researchers from all 7 faculties of the university, from video AI and its alignment with human cognition, ethics, and law, to its embedding in medical domains, public safety, and business. The lab has 9 supervisors in total spanning all 7 faculties of the university for maximum interdisciplinarity. Depending on the specific topic, the PhD students also have a strong link to the working environment and faculty of their respective supervisors. The HAVA Lab has been given a unique central location at the library, an ideal hub for interdisciplinary collaborations. The PI of the lab is prof. dr. Cees Snoek.
Deadline : 19 January 2024
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Position on Human-Aligned Video-AI for Public Safety
The HAVA Lab will host 7 PhD positions working together with researchers from all 7 faculties of the university, from video AI and its alignment with human cognition, ethics, and law, to its embedding in medical domains, public safety, and business. The lab has 9 supervisors in total spanning all 7 faculties of the university for maximum interdisciplinarity. Depending on the specific topic, the PhD students also have a strong link to the working environment and faculty of their respective supervisors. The HAVA Lab has been given a unique central location at the library, an ideal hub for interdisciplinary collaborations. The PI of the lab is prof. dr. Cees Snoek.
Deadline : 19 January 2024
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD in Accounting
Accounting research deals with a variety of questions in the areas of financial accounting, managerial accounting, auditing, and increasingly, sustainability/ESG accounting. Broadly, accounting research addresses how (accounting) information is created, disseminated and used, and how this information affects the world around us (e.g., capital market participants, employees, other internal and external stakeholders).
This PhD position is a full-time position for a period of four years. The first year will consist of PhD-level coursework, after which the candidate will start working on his or her own research agenda under the supervision and with the support of the senior professors within the department. The research projects will be shaped by the candidate’s ideas, interests and capabilities. We especially welcome candidates with a strong interest in the intersection of accounting and sustainability/ESG, and candidates who are interested in primarily conducting quantitative empirical research (archival or experimental). The fourth year of the PhD position typically involves a half- to full-year visit at another internationally renowned school.
Deadline : 1 April 2024
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Cell-water Structure and Dynamics
Water in living cells contains a high concentration of biomolecules, that can significantly alter its properties (see https://www.nature.com/articles/s41467-017-00858-0). There are even cells (bacterial spores, for instance) in which all chemistry is put to a standstill: these cells can survive for years in a dried-out, chemically ‘frozen’ state, from which they can recover completely and continue living as if nothing happened. The physical and chemical mechanisms underlying this suspended metabolism are still a mystery. In this PhD project, you will help to solve this mystery by using state-of-the-art experimental methods to investigate the structure and dynamics of water and proteins in living cells capable of surviving extreme circumstances, such as drought and thermal shock. Knowledge of how some cells manage to survive complete desiccation for such long periods of time can help to develop strategies for the dry, room-temperature storage of blood and vaccines (important for third-world countries), but potentially even for the dry storage of entire organisms. The project will be carried out at the University of Amsterdam, in cooperation with the Max-Planck Institute in Mainz.
Deadline :31-12-2024
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Neurobiology of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome
We are looking for an ambitious and enthusiastic PhD candidate to help us unravel this largely unexplored, burdensome and complex disorder. The position is supported by a recently awarded ZonMw grant, and is part of a larger Dutch consortium on ME/CFS. This project concerns a collaboration between the University of Amsterdam (Brain Plasticity group, Swammerdam Institute for Life Sciences (SILS) in the Faculty of Science), the Amsterdam UMC and the Neuroimmunology group of the Netherlands Institute for Neuroscience (NIN). You will be working both at the SILS and at the NIN.
Research in our consortium aims at advancing fundamental knowledge of the neurobiology of ME/CFS, using state-of-the-art molecular methods in neuroscience. Together with societal partners, we aim to translate fundamental knowledge and novel insights into solutions for societal problems.
The aim of this project is to make first steps into improving our understanding the molecular and cellular alterations in the brain in relation to fatigue, such as they occur in ME/CFS and in Long Covid, for which we will use human post-mortem brain tissue and study related pre-clinical fatigue model systems (mice and/or primates).
Deadline : 14.01.2024
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in AI and Visual Analytics for Multi-Modal Summarization
Are you interested in performing cutting-edge research in Artificial Intelligence (AI) and visual analytics for social good? Visual analytics is the science of making sense of data using visualization and modeling techniques. The Informatics Institute at the University of Amsterdam is looking for an ambitious PhD student to integrate AI and visual analytics in summarizing multi-modal data in the public health domain. Your research is part of the Multimedia Analytics (MultiX) lab with a strong focus on dealing with multi-modal data.
Nowadays, there is a lot of multi-modal data related to public health in local regions, such as citizen reports/complaints, social media streams, camera monitoring footage, and environmental sensor readings. There is a strong need to build AI-driven visual analytics tools that can summarize these data to help local stakeholders understand the patterns and events that are currently happening, such as air pollution, disease outbreaks, and flooding. Besides, summarization can be used to encourage citizens to monitor their surroundings, which can lead to a sense of community, autonomy, and empowerment. For example, when citizens receive an event notification via apps/emails, they can click on the notification to go to an AI-driven visual analytics tool that shows the summary with different ways for users to provide feedback interactively.
Deadline : 1 February 2024
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Green-and-Explainable Machine Learning
There is growing concern that black-box Machine Learning is not always suitable as its explainability is limited and its energy consumption might be prohibitively expensive. Both issues are interrelated, as enhancing the explainability of ML (ensuring that decisions made by ML are sufficiently motivated to humans by that same ML) may require more complex ML models or additional steps – such as local approximations with an interpretable model or simulations of “what if” scenarios, thus leading to increased energy consumption. Conversely, recent comprehensive research into explainable-by-design deep learning systems indicates that feed-forward neural architectures are intrinsically suitable for explainability, at the cost of worsened classification metrics (accuracy).
Thus, it is important to understand to what extent explainable ML, accurate ML, and reducing the energy consumption of ML could be simultaneously optimised. This way, we can establish best practices to guide ML developers in the implementation of ML models and users in the selection of ML tools that are accurate, explainable, and energy-efficient at the same time.
Deadline : 31 January 2024
(21) PhD Degree – Fully Funded
PhD position summary/title: Three PhD Positions on Link-Recommendation Algorithms and Social Dynamics
Have you always wanted to develop computational models to understand human social dynamics? Are you passionate about designing recommendation algorithms that are fair and positively impact society? Do you enjoy working in an international and interdisciplinary research setting, at the interface of computer science, recommendation systems, computational social science, and behavioural sciences? If so, we have the right position for you! We are looking for ambitious doctoral students to join the European ERC project RE-LINK (Responsible Link-Recommendations in Dynamic Environments), at the University of Amsterdam.
With project RE-LINK, we aim at developing new computational models to evaluate 1) the long-term societal impacts of link-recommendation algorithms in online social networks and 2) design a new paradigm of link-recommenders that incentivize cooperation, fairness, collective action, and misinformation control.
Deadline : 6 February 2024
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate Clinical Psychology: Identification with Non-Suicidal Self-Injury in Adolescence
As around 20% of community adolescents have engaged in NSSI, with numbers rising to a staggering 60% in clinical populations, the need for effective (secondary) prevention in this age group is clear. Our project focuses on informing and enhancing prevention practices by investigating the complexities surrounding implicit and explicit identification with NSSI. Through a combination of qualitative, quantitative, and experimental research methods, we aim to understand why and how some individuals self-identify with NSSI (‘I, self-injurer’) and which role this phenomenon plays in the prognosis and the impact of prevention efforts. Join our team to contribute to an improved understanding of NSSI and play a key role in shaping effective prevention strategies.
Deadline : 29 January 2024
(23) PhD Degree – Fully Funded
PhD position summary/title: PhD on How Auditory Processing Difficulties Impact Use and Perception of Visual Signals
Would you enjoy working in an interdisciplinary research setting investigating multimodal language in clinical populations? The Institute for Logic, Language and Computation (ILLC) is looking for a talented PhD candidate. Your research will be part of the SignLab, in collaboration with the Communicative Brain Lab in Nijmegen.
Deadline : 1 February 2024
About University of Amsterdam, Netherlands –Official Website
The University of Amsterdam is a public research university located in Amsterdam, Netherlands. The UvA is one of two large, publicly funded research universities in the city, the other being the Vrije Universiteit Amsterdam (VU). Established in 1632 by municipal authorities and later renamed for the city of Amsterdam, the University of Amsterdam is the third-oldest university in the Netherlands. It is one of the largest research universities in Europe with 31,186 students, 4,794 staff, 1,340 PhD students and an annual budget of €600 million. It is the largest university in the Netherlands by enrollment. The main campus is located in central Amsterdam, with a few faculties located in adjacent boroughs. The university is organised into seven faculties: Humanities, Social and Behavioural Sciences, Economics and Business, Science, Law, Medicine, Dentistry.
The University of Amsterdam has produced six Nobel Laureates and five prime ministers of the Netherlands. The University of Amsterdam has been placed in the top 100 universities in the world by five major ranking tables. By the QS World University Rankings it was ranked 61st in the world, 14th in Europe, and 2nd in the Netherlands in 2021. The university was placed in the top 50 worldwide in seven fields in the 2011 QS World University Rankings in the fields of linguistics, sociology, philosophy, geography, science, Economics and econometrics, and accountancy and finance. In 2018 and 2019 the two departments of Media and Communication were commonly ranked 1st in the world by subject by QS Ranking.
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