Are you holding Master’s degree and looking for fully funded PhD positions? Lund University, Sweden invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
1. Fully Funded PhD Position in Computational Biology
Summary of PhD Program:
Biology is the broad subject about all living things. It encompasses everything from processes at the molecular and cellular level to global processes at ecosystem level. The subject is divided into a range of sub-disciplines and specialisations. The PhD programme at the Department of Biology includes many of these specialisations, from molecular biology to applied ecology, from viruses and individual cells to evolutionary biology and global biodiversity. Taking on research studies at the Department of Biology generally means focusing on a delimited part of the research area of biology and may include field studies, experiments, theoretical studies, or a combination of these.
Application Deadline: 07.Sep.2023
2. Fully Funded PhD Position in Computer Science
Summary of PhD Program:
The focus of the PhD project will be human-robot collaboration, specifically investigating robot-to-human handover tasks, e.g. for surgical instruments. The project is funded by WASP and connected to the WASP Research Arena “Robotics”, providing ample opportunity for data collection and result demonstrations in addition to our own facilities at Lund University.
Application Deadline: 06.Sep.2023
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3. Fully Funded PhD Position in Cardiovascular Research
Summary of PhD Program:
The PhD position is placed at the Cardiovascular Research – cellular metabolism and inflammation with labs at the Clinical Research Centre (CRC), a dynamic and inspiring research environment on the Skåne University Hospital Malmö Campus. The research group collaborates closely with scientists and research groups in experimental and clinical cardiovascular research and diabetes research. We are looking for a curious, goal-oriented, organized, and dedicated individual who wants to train to become a research scientist. The applicant should have a scientifically, medically, or biomedically oriented university education.
Application Deadline: 01.Sep.2023
4. Fully Funded PhD Position in Physics
Summary of PhD Program:
Atomic Physics is one of seven research divisions at the Department of Physics. It has about fifty employees, including about twenty PhD students. The research at the Division of Atomic Physics is centred on different applications of optics and lasers, including high-intensity laser-plasma physics and laser acceleration, atomic and molecular physics with ultrashort light pulses, quantum information, biophotonics, and ultrafast x-ray science. The Division operates the Lund High-Power Laser Facility, including several advanced femtosecond laser systems. It is a central part of a major interdisciplinary research environment within Lund University, the Lund Laser Centre, LLC.
Application Deadline: Open until filled
5. Fully Funded PhD Position in Aerosol Technology
Summary of PhD Program:
To create a sustainable society, we need to increase the circular use of materials, meaning that we need to utilise recycled materials and industrial side streams, replacing primary raw materials. At the same time, we must ensure that this industrial transition does not result in uncontrolled emissions. An untapped secondary resource with great potential is ash from waste incineration. During the incineration, energy is recovered through production of heat and electricity, and at the same time the amount of waste is reduced. Through various standardized and advanced techniques, we can gain a better understanding of both the ash itself and of the properties of the particles being emitted to the air during secondary use of the ash, with the aim of better understanding how we use the ash as a resource and minimize uncontrolled emissions and exposure of toxic substances.
Application Deadline: 31.Aug.2023
6. Fully Funded PhD Position in Electrical Engineering
Summary of PhD Program:
Machine learning and artificial intelligence have attracted a lot of attention over the past few decades. Machine learning algorithms have been considered in many application domains, including Internet of Things (IoT) systems. The adoption of machine learning in IoT systems creates several new opportunities, e.g., detection of health abnormalities using wearable devices, but also involves several major challenges, e.g., complexity of federated and decentralized machine learning algorithms for IoT systems and privacy concerns related to personal data and machine learning.
Application Deadline: 31.Aug.2023
7. Fully Funded PhD Position in sedimentary geochemistry
Summary of PhD Program:
The emergence of calcifying plankton in the oceans shifted the major carbonate production from the shallow seas to the open marine realm with large consequences on the carbonate saturation of the oceans and their buffering capacities. Evolution of the key organisms occurred during the Late Triassic. At the same time, the supercontinent Pangea started to break up, with large-scale tectonic reorganizations and significant changes in weathering and nutrient enrichment with major implications for marine biogeochemical cycles. Our understanding of the causes and effects of all these changes is still limited. This project intends to explore the hypothesized link between the changes in seawater chemistry, their causes and the emergence of planktonic calcification.
Application Deadline: 20.Aug.2023
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8. Fully Funded PhD Position in mathematical statistics
Summary of PhD Program:
The aim of this project is to develop theory, methods, and software, for modelling and inference within the framework of scientific machine learning. Particular attention will be given to stochastic dynamical systems. The work will draw on topics such as Bayesian estimation, stochastic differential and difference equations, Gaussian processes, variational methods, and Monte Carlo methods. While the aim is to develop powerful statistical tools for learning and predicting in stochastic systems, attention is also given to algorithmic development for tractable inference.
Application Deadline: 16.Aug.2023
9. Fully Funded PhD Position in physical chemistry
Summary of PhD Program:
The current project focuses on proteins from plant seeds as promising opportunities to replace animal-derived food proteins with a more sustainable, healthy and affordable protein source. A central challenge is the physicochemical difference of seed proteins to typical animal proteins which require novel approaches to create comparable food properties. The overall research goal is the understanding of assembly processes of proteins as triggered by changes in temperature and chemical environment, including in particular the time-resolved monitoring of structure and dynamics during assembly.
Application Deadline: 15.Aug.2023
10. Fully Funded PhD Position in Energy Sciences
Summary of PhD Program:
In an aircraft engine, jet fuel is burned in a gas turbine, which in turn propels the aircraft. Depending on the chemical composition of the fuel, the combustion will look different. In order to be able to use a wide range of fuels, which is becoming increasingly important, it will be essential to investigate whether we can improve the operation of the aircraft engine so that climate-neutral fuels can be used and that different fuels can be used without the need to modify the engine. The work of energy scientists within MYTHOS focuses on combustion chamber studies and optimization using numerical simulation methods to increase fuel flexibility so that SAF and hydrogen can be used in the same combustion chamber without this being adjusted.
Application Deadline: 15.Aug.2023
11. Fully Funded PhD Position in robotics
Summary of PhD Program:
We are now recruiting a PhD student to a project is devoted to Whole-Body Interactive Mobile Manipulation. For most mobile manipulators deployed in industrial floors and academic labs, the mobility of the platform and the manipulator are not treated in a whole-body fashion i.e., the mobile robot moves to specific positions while the manipulator is not moving and when the manipulator performs a contact or interaction task the platform remains still. The main objective of this project is to endow mobile manipulators with whole-body mobility and interaction functionalities using coordinated control of the mobile platform and the mounted robotic manipulator and address performance, reliability, and safety in dynamic environments.
Application Deadline: 15.Aug.2023
12. Fully Funded PhD Position in Physics
Summary of PhD Program:
Doctoral studies in physics at the department of synchrotron radiation research. The applicant will investigate single-crystalline and poly-crystalline materials active for electrocatalysis or for corrosion studies. The overall goal is an improved structural understanding and functionality of the surfaces of these materials during electrochemical processes. The department of synchrotron radiation research develops and uses new experimental techniques for materials research. The studies will mainly be carried out as laboratory work at our local laboratories at the Department of Physics, but also at synchrotron radiation facilities.
Application Deadline: 15.Aug.2023
13. Fully Funded PhD Position in Automatic Control
Summary of PhD Program:
We are now recruiting a PhD student for a project where we will explore the use of AI in the cloud to dynamically extend the capabilities of unmanned vessels. The goal of this project is to develop methods and tools to support dynamic offloading of demanding compute and AI functionality from limited connected devices to the cloud. We will work within the WASP research arena on public safety using real autonomous boats and drones. The work will also include hands-on activities on cloud services, 5G networks and robotics applications.
Application Deadline: 14.Aug.2023
14. Fully Funded PhD Position in Computational Chemistry
Summary of PhD Program:
The PhD project will be conducted in the group of Dr. Martin Trulsson, senior lecturer at the division of Computational Chemistry. The group’s research encompasses a broad range of problems in soft and flowing materials, with a special focus on the rheology of dense suspensions and surface forces between charged colloids. The theoretical and computational methods employed in the group encompass a wide range of various simulation and computational techniques,from Langevin and Brownian dynamics to Monte Carlo simulations and non-linear differential equations(primarily the Poisson-Boltzmann equation).
Application Deadline: 13.Aug.2023
15. Fully Funded PhD Position in Human-Centered Design
Summary of PhD Program:
In your doctoral studies, you will have the unique opportunity to contribute to two EU-funded projects. These projects are at the forefront of technology and aim to advance wearable sensor-motor interfaces, supernumerary robotic limbs, and immersive learning through human-robot interaction.Throughout your doctoral studies, you will collaborate with international partners, conducting participatory workshops and ethnographic studies, refining prototypes, and pushing the boundaries of innovation in assistive technologies and immersive learning. Your thesis work will delve into the intricacies of human-robot interaction, with a specific focus on addressing the needs of individuals and society.
Application Deadline: 13.Aug.2023
16. Fully Funded PhD Position in Packaging Logistics
Summary of PhD Program:
Packaging logistics is a broad subject at the Department of Design Sciences that embraces different theories in order to achieve efficient and sustainable resource utilization in supply chains. Packaging logistics research focuses on the design of services, products, and its packaging systems – from raw material to consumer and recycling – with a holistic approach to meet global and local societal challenges such as sustainable development. The subject is linked to industrial economy, marketing, and innovation, which include research problems with a holistic system perspective. Research in Packaging Logistics is often inspired by new technology and interdisciplinary industrial problems and can encompass anything from mathematics to hands-on engineering.
Application Deadline: 13.Aug.2023
17. Fully Funded PhD Position in Transformative Innovation in the periphery
Summary of PhD Program:
Transformative Innovation is a subject that aims to understand, explain and improve activities that focus on the development and adaptation of new and existing solutions (e.g. systems, goods and/or services) as well as new or changed processes (e.g. technical, organisational and business-related) in order to create value for individuals, groups, companies and other organisations, as well as society as a whole.
Application Deadline: 13.Aug.2023
18. Fully Funded PhD Position in Aerosol Technology
Summary of PhD Program:
Aerosols are mixtures of gases and particles, where the air we breathe is a common example. Health impacts by aerosol particles (measured as PM2.5) is today the largest environmental risk factor in Europe. The EU is currently drafting revised and sharpened emission and air quality legislations that will lead to environmental and health benefits but also cause a strong demand of aerosol scientists within industry, society and academia in the near future.
Application Deadline: 11.Aug.2023
19. Fully Funded PhD Position in Biology
Summary of PhD Program:
The overarching goal of this PhD project is to understand why the Eurasian spruce bark beetle Ips typographus seems to attack one of its secondary hosts at increasing rates in a warming climate. The project is expected to provide fundamental knowledge of the host preferences and host specificity of this devastating insect as well as insight into its performance on primary versus secondary host trees/breeding material. Studies will also be conducted on the symbiotic fungi of the beetle, which are likely of great importance for the success of the beetles on different host species. Furthermore, the importance of tree semiochemicals, individual insect odorant receptors and the gentic basis of the beetles’ host preferences will be analyzed using state-of-the-art methods.
Application Deadline: 08.Aug.2023
20. Fully Funded PhD Position in heat and health
Summary of PhD Program:
The research area of thermal environment, climate and health is part of the research subject of working environment. The focus is on the effects of thermal (hot and cold) environments and extreme weather events on human health, thermal physiological responses, productivity, thermal stress and comfort, and well-being. The research is also carried out in the field to develop preventive and protective measures including heat and health early warning systems to reduce heat stress and related health outcomes.
Application Deadline: 07.Aug.2023
21. Fully Funded PhD Position in Psychology
Summary of PhD Program:
The Department of Psychology co-finances a doctoral position with FORTE within the project: Improved assessment of depression and anxiety in children and young people using natural language. How a person expresses their state of mind with language represents rich information. Language is “the most common and reliable way for people to translate their inner thoughts and feelings into a form that others can understand” (Tausczik & Pennebaker, 2010, p. 25). This project develops and adapts a method to improve the accuracy of diagnosis of Major Depression and Generalized Anxiety Disorder in children and young people.
Application Deadline: 06.Aug.2023
22. Fully Funded PhD Position in Mathematics with focus in Machine Learning
Summary of PhD Program:
The research work will focus on the development of machine learning methods for anomaly detection and spatio-temporal analysis of mixed data including geospatial visible and multi-spectral signals. The research group will work with:
- ways to describe correlations and noise in the data;
- design of improved loss functions which enhance spatial-temporal analysis of information from remote sensing (GIS/satellites/drones);
- design of improved autoencoders (VAEs, GANs), diffusion models and other such machine learning methods towards analysis and detection of anomalies as well as identifying important features of a learned probability distribution in latent space.
