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Neuroscience

Neurologist Group Leader in Clinical Parkinson’s Disease Research

As Associate Professor in clinical Parkinson’s disease research, you will contribute to the department’s research and teaching environment and to the faculty’s overall research strategy. You will contribute to the development of the department both individually and in collaboration with others via your research of high international quality. You ensure that your teaching maintains a high academic and didactic standard. You possess professional collaborative skills and a broad academic network which you are able to bring into play in your contribution to the academic development of Aarhus University and its profile both nationally and internationally. Your main tasks will consist of: Research of high international quality, including publications in top international journals and communicating your research in national and international academic networks. Research focus on clinical trials (smaller academic clinical trials conducted within PACE and participation in multi-centre clinical trials). Translational research in collaboration with other scientific disciplines at PACE aiming to improve clinical evaluation, diagnosis, and treatment of patients with Parkinson’s disease and other Lewy body disorders. Teaching and supervision of Bachelor’s and Master's degree students and contribution to the development of new teaching activities. To contribute to the funding of your own research group with the help of external research funding. Supervision of PhD students and contributing to the development of the faculty's PhD courses. Involvement in assessment and committee work at Aarhus University.

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Group leader position to study neuronal functional changes in in vivo models of Parkinson’s disease

As Group leader in 4D in vivo modelling, you will contribute to the department’s research and teaching environment and to the faculty’s overall research strategy. You will contribute to the development of the department both individually and in collaboration with others via your research of high international quality. You ensure that your teaching maintains a high academic and didactic standard. You possess professional collaborative skills and a broad academic network which you are able to bring into play in your contribution to the academic development of Aarhus University and its profile both nationally and internationally. Your main tasks will consist of: Development of a successful research group in 4D in vivo modeling neuronal dysfunction of synucleinopathies Research of high international quality, including publication in top international journals and communicating your research in national and international academic networks Teaching and supervision of Bachelor’s and Master's degree students and contribution to the development of new teaching activities Contribution to the funding with the help of external research funding Supervision of PhD students and contributing to the development of the faculty's PhD courses Involvement in assessment and committee work at Aarhus University Dissemination of your research to the outside world

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Postdoc in Neuroendocrinology and Physiology

Animals continuously face harmful changes in ion and water balance as they interact with their environment. In order to survive, animals must be able to detect and respond to fluctuations in water and ion balance—core challenges for life in terrestrial environments. Insects, and beetles in particular, have evolved exceptional physiological strategies that enable survival across a wide range of ecological niches, including arid and extreme habitats. Our research focuses on how osmotic changes are sensed at the cellular level and communicated systemically through endocrine signaling pathways, with particular emphasis on how neuropeptides and hormones regulate water homeostasis, coordinate developmental timing, and remodel physiology under stress conditions such as desiccation and starvation. The successful postdoctoral researcher will lead efforts to elucidate the molecular mechanisms governing water balance in Tribolium castaneum, a powerful and ecologically relevant genetic model. The project will integrate single-cell transcriptomics, RNA interference, in situ hybridization, molecular and biochemical techniques, and live imaging of genetic reporters to identify and functionally characterize specific cell types and signaling pathways in key osmoregulatory organs, including the Malpighian tubules and the cryptonephridial complex. This position is part of a broader research program aimed at linking organ-specific physiological adaptations to evolutionary innovation. By uncovering the cellular and molecular basis of water conservation mechanisms in beetles, the project will provide new insights into how lineage-specific traits contribute to evolutionary success and ecological dominance. Moreover, the findings have strong translational potential in guiding the development of next-generation, species-specific strategies for sustainable insect pest control.

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PhD Position in Neuromorphic Bioelectronics for Brain-Computer Interfaces: CMOS Spiking Neural Netwo...

This PhD position is part of a multidisciplinary research initiative focused on developing intelligent assistive technologies driven by brain-inspired computing. The broader goal of the project is to enable seamless interaction between humans and machines by interpreting brain activity (e.g., EEG signals) in real time using energy-efficient neuromorphic hardware. You will work on the design and hardware realization of Spiking Neural Networks (SNNs), aiming to bridge neuroscience and electronics. The project integrates expertise from circuit design, machine learning, and neurotechnology to deliver innovative solutions for applications such as brain-computer interfaces, cognitive rehabilitation, and neural prosthetics. Your contributions will support the development of a custom CMOS-based SNN processor that can operate in ultra-low-power environments, suitable for wearable or implantable devices. The research will focus on hardware-software co-design, from modeling spiking behavior to implementing scalable architectures on silicon. Key research themes include: CMOS-based neuron and synapse circuit design Low-power digital architecture for SNN processing On-chip learning mechanisms Integration with sensor interfaces for biomedical signal processing What You Will Do Design and simulate CMOS circuits for spiking neuron models Develop and validate digital/mixed-signal SNN hardware Collaborate with neuroscientists and system-level designers Contribute to real-world applications in brain-computer interfaces Publish in leading conferences and journals We Are Looking For A Master’s degree in Electrical Engineering, Computer Engineering, or a related field Experience with VLSI design (Cadence tools, Verilog/VHDL, SPICE) Knowledge of neural networks and neuromorphic systems is a strong advantage Good programming skills (e.g., Python, MATLAB) and interest in interdisciplinary research Strong motivation and ability to work independently and collaboratively

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PhD Position in Neuromorphic Brain-Computer Interface Design

A Brain-Computer Interface (BCI) decodes brain activity patterns and transforms them into actionable commands, enabling direct communication between the brain and external devices. BCIs have broad applications, from restoring movement in people with movement disabilities and treating brain-related disorders like epilepsy or Parkinson’s disease, improving brain functions, and enabling hands-free control of machines or computers. One of the main challenges in developing future BCIs is to increase the number of brain signal channels while keeping the system very small and energy-efficient. This is very important for implantable or wearable systems. This PhD project focuses on designing and testing a fully integrated, 32-channel neuromorphic BCI system. The system will be designed to scale efficiently to much higher channel counts in the future. The system will include: A very compact, ultra-low-power analog front-end (AFE) to sense neural signals. An on-chip neuromorphic processor to convert the neural data into spike-based encoded data and performing local neural pattern recognition and decoding. A low-power transceiver, which will transmit only the decoded high-level control commands instead of the raw data, dramatically reducing bandwidth and energy requirements. By doing all processing locally on-chip, the system eliminates the need for sending large amounts of unprocessed brain signals wirelessly that is essential for building completely autonomous, energy-efficient, high-density BCIs. The PhD student will work on designing and testing all parts of this system, focusing on making it small, power-efficient, and suitable for medical or wearable use.

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Postdoc in Endocrine Feedback regulation of Vagal Control of Appetite and Energy Balance

From a strong histological/spatial transcriptomic base you will work with a broad combination of advanced genetic rodent models, novel proprietary pharmacological tools and e.g. immunoneutralization in a close interdisciplinary collaboration with the Gerhart-Hines, Clemmensen, and Pers groups and CBMRs Enabling Biological Platforms to characterize a novel receptor system, which they have discovered to be responsible for a previously unrecognized homeostatic endocrine feed-back regulation of the central vagal system including appetite and energy homeostasis. Your project will aim at establishing novel means to improve not only the efficacy but, importantly also the tolerability of current anti-obesity treatments.

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2-year Postdoc position on Spiking Neural Network (SNN) Algorithm Development for Seizure Detection ...

The project is leveraging the latest research within brain-inspired data processing aiming at reducing workload and improving accuracy of Long-Term Video-Electroencephalographic Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection of epileptic seizures. The first prototype, CEN01, is expected to be implemented in hospitals, giving a more accurate and less time-consuming early detection of seizure. Work description The appointed researcher will be involved in crafting and applying high-accuracy algorithms for a Spiking Neural Network (SNN) processing unit, to be executed on FPGA and ASIC. As a Postdoc, your key responsibilities will be: Develop algorithms for translating the EEG recorded signals for seizure detection and prediction. Implementing the developed algorithms on FPGA-based SNN and/or ASIC designed SNN chip with focus on accuracy as a primary parameter and power consumption reduction as a secondary parameter. Work closely with Digital system designer to understand the hardware specifications and limits in order to match the developed algorithms with the designed hardware in the best way. Document design specifications, and design trade-offs clearly. Qualifications Applicants should hold a PhD in electronics, computer engineering, or biomedical engineering (the degree should have been completed within the last 5 years at most) with at least 3 years of experience in designing Artificial Neural Network (ANN) or Spiking Neural Network (SNN) algorithms. Candidates, who will complete and defend their PhD thesis by the end of 2025, are welcome as well: Strong expertise in algorithm development for neural networks. In-depth knowledge of biosignals features and processing techniques. Experience in designing Spiking Neural Networks (SNNs) or deep learning algorithms Preferably, experience with FPGA development of SNNs ASIC design experience is a plus. Excellent verbal and written communication skills in English.

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Post Doc within structural biology at Department of Neuroscience

The current project concerns the solvation of structures of the human dopamine transporter (hDAT) using single particle cryo electron microscopy (cryo-EM). Your task would be to express and purify hDAT from HEKexpi cells using detergents for extraction and stabilization. These methods are already implemented in our laboratory (see Nielsen et al. 2024, Nature). We also strive for implementing nano discs from polymers or MSPs to extract or stabilize hDAT. The main task is to solve multiple structures of hDAT using single particle cryo-EM. For this, we have an in-house Titan Krios. We hope to solve the conformational transitions required for dopamine transport as well as elucidating the pharmacological properties of various orthosteric and allosteric hDAT inhibitors.

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Postdoc in Neurobiology of Appetite, Obesity & Neuroplasticity

The Clemmensen group are seeking a Postdoctoral Researcher to join their team as part of a broader initiative to investigate neuroplasticity in the context of weight homeostasis, with the long-term goal of identifying therapeutic targets for sustainable weight loss. Candidates with experience in studying neuroplasticity, either in vitro or in animal models, will be particularly well-suited for this role. This project is conducted in close collaboration with Associate Professor Joseph Rogers. Accordingly, we also encourage candidates with a background in drug discovery, particularly those capable of bridging the research between the Clemmensen Group and the Rogers Lab, to apply. This project may also involve evaluating commercial potential of new discoveries. Importantly, while they are open to translational outcomes such as intellectual property development and spin-out opportunities, they remain firmly committed to scientific excellence. Dissemination of results in high-impact, peer-reviewed international journals is a top priority and will not be compromised in favour of commercialization.

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Professor and Head of the National Centre for Register-based Research

The Department of Public Health at Faculty of Health – Aarhus University, invites applications for a position as Professor and Head of the National Centre for Register-based Research (NCRR). The position is full-time and tenured, with a starting date of 1 May 2026, or as soon as possible thereafter. The National Centre for Register-based Research is an innovative and internationally recognized research section within the Department of Public Health at Aarhus University. The Centre is at the forefront of psychiatric epidemiology and register-based research, leveraging Denmark’s unique national population registers to generate pioneering insights into the causes and trajectories of psychiatric and other brain disorders. NCRR is a cornerstone of iPSYCH, one of the world’s leading initiatives in psychiatric genetics and life-course epidemiology, and also hosts the newly established SMARTbiomed Pioneer Centre, which develops cutting-edge methodologies in machine learning and causal inference applied to human health. Read more about NCRR here.

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One or more Postdoc positions at the Center for Neuroplasticity and Pain (CNAP)

Are you enthusiastic about human pain research? The Center for Neuroplasticity and Pain (CNAP) at Aalborg University is recruiting one or more postdoctoral researchers, to start 1st of November 2025 or soon thereafter. Each position is available for a period of 2 years. Who are we? CNAP strives to identify and modulate key features of human pain neuroplasticity and understand its relevance for persistent pain in humans. CNAP is a research Center of Excellence inaugurated in 2015 by the Danish National Research Foundation at Aalborg University, Denmark (www.cnap.hst.aau.dk). CNAP applies a basic research approach where new advanced biomedical provocation and probing platforms are being discovered and applied to study novel aspects of human pain neuroplasticity. The ambition of CNAP is to identify and modulate key features of human pain neuroplasticity through a systematic approach, including provoking, probing and modulation of the dynamic neuroplastic properties of the pain system. We believe that over time, this approach will foster new fundamental discoveries, change the state of the art, and offer novel ways for pain treatment. Our world class lab facilities enable advanced quantitative sensory/pain testing, application of cutting-edge neurophysiological assessments (e.g. EEG, TMS, TMS-EEG, rTMS, HD-tDCS), bio-medical techniques (e.g. linked with epigenetics and general biomarkers), quantitative sensory testing (QST) as well as research based on animal models (e.g. rodents and pigs).

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Postdoc in the Biophysical Modelling of Brain Stimulation - DTU Health Tech

Are you interested in combining advanced image analyses with computational simulations to gain deeper insights into human brain function, and how it can be influenced by brain stimulation? Are you eager to work in a dynamic international research group where you will contribute to a major open-source software platform? Do you thrive in multi-disciplinary environments? If yes, you should send your application to DTU Health Tech. Non-invasive transcranial brain stimulation (TBS) is currently strongly increasing as approach to treat mental health indications, such as depression, obsessive compulsive disorder or smoking addiction. Despite this recent boost, it still suffers from limitations that hamper its further development. A major challenge is the limited understanding of the mechanisms by which TBS affects nerve activity at the micro- and mesoscale, which precludes a systematic optimization of the intended clinical effects.

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Postdoc position in philosophy of psychology/cognitive science

The postdoc will be part of a project entitled Selection in Cognition funded by the Carlsberg Foundation and headed by Professor Søren Kyllingsbæk and Professor Thor Grünbaum. The Selection in Cognition project develops and tests a new theory of basic cognitive selection mechanisms by combining methods and perspectives from experimental psychology, cognitive neuroscience, mathematical modelling, and philosophy. The core idea is that selection in cognition may be understood as a biased competition between representations in a stochastic race (Grünbaum, Oren, & Kyllingsbæk, 2021; Oren et al., 2024; Kyllingsbæk et al., 2025). A successful applicant is expected to familiarize themselves with recent work by Prof. Thor Grünbaum and situate their research plan within the framework of the Selection in Cognition project. For more information about the project, please contact Prof Thor Grünbaum (tgr@hum.ku.dk).

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PHD Stipend to study non-canonical functions of antibodies in neurological and psychiatric condition...

Do you want to be a part of a collaborative effort, partly funded by the Sino-Danish Center, to study non-canonical activities of immunoglobulins? And do you see yourself as a teamplayer who is strong in collaboration? Do you see it as a unique opportunity to spend 9 months of the PhD in China? If yes, we look forward to reading your application to our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a Ph.D. stipend is available within the general study program. The Ph.D. stipend is open for appointment from 01.10.2025 or as soon as possible thereafter. The position is for 3 years, and the workplace will mainly be at the Department of Chemistry and Bioscience in Aalborg with extended periods, up to 9 months in total, at Institute of Biophysics, Chinese Academy of Science, Beijing, China.

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PhD Position in Neuromorphic Bioelectronics for Brain-Computer Interfaces: CMOS Design of Analog Fro...

This PhD project is embedded in a multidisciplinary initiative that aims to develop a wearable neuromorphic system for brain-signal interpretation and sensor-based feedback. The broader goal is to support assistive devices through real-time analysis of brain activity and physical interaction signals using energy-efficient hardware. As a PhD candidate, your primary focus will be on designing the analog front-end (AFE) for EEG signal acquisition and developing CMOS interface circuits for various wearable sensors (e.g., pressure, temperature, motion). A key responsibility will be to develop circuits that convert analog neural signals into digital or event-based outputs (e.g., spike-compatible signals) suitable for a neuromorphic backend. Note: This position does not involve designing the Spiking Neural Network (SNN) itself. However, close collaboration with another PhD student working on the SNN hardware design is expected to ensure seamless signal interfacing and system integration. Key research themes include: Design of low-noise, low-power analog front-end for EEG electrodes Spike/event encoding of neural signals for neuromorphic processors CMOS interface design for glove-embedded sensors (pressure, temperature, etc.) Signal conditioning and digitization for heterogeneous sensor inputs System-level validation and interfacing with SNN-based hardware What You Will Do Design, simulate, and verify CMOS analog/mixed-signal circuits (Cadence, Spectre, etc.) Optimize circuits for power, noise, and area constraints Prototype and validate circuits with EEG signals and wearable sensors Collaborate with the SNN PhD researcher to deliver suitable input formats Publish your findings in international journals and conferences

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Assistant professorships in Psychology

The Department of Psychology and Behavioural Sciences invites applications for assistant professorships in Psychology. The educational program of the Department covers the subfields of Social and Personality Psychology, Cognitive Psychology, Developmental Psychology, Pedagogical Psychology, Clinical Psychology and Work and Organizational Psychology. In addition, the Department participates in the Flexible Master Program of Public Leadership Education and the Cand Soc in Business Psychology. The assistant professorships are three-year positions, starting November 2025 or as soon as possible subject to mutual agreement. Applicants will be shortlisted for a full assessment based on their qualifications and the Department’s intention for a broad recruitment both within and between subfields. Hence, applicants not shortlisted will not receive a full assessment. The Department expects to offer approximately two assistant professorships. The final number of positions realized will depend on the assessment of the applicants.

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Group leader in live-cell functional in vitro modelling of alpha-synuclein aggregate dependent proce...

As Group Leader in live cell in vitro modelling, you will contribute to the department’s research and teaching environment and to the faculty’s overall research strategy. You will contribute to the development of the department both individually and in collaboration with others via your research of high international quality. You ensure that your teaching maintains a high academic and didactic standard. You possess professional collaborative skills and a broad academic network which you are able to bring into play in your contribution to the academic development of Aarhus University and its profile both nationally and internationally. Your main tasks will consist of: Development of a successful research group in live cell in vitro modelling of synucleinopathies Research of high international quality, including publication in top international journals and communicating your research in national and international academic networks Teaching and supervision of Bachelor’s and Master's degree students and contribution to the development of new teaching activities Contribution to the funding with the help of external research funding Supervision of PhD students and contributing to the development of the faculty's PhD courses Involvement in assessment and committee work at Aarhus University Dissemination of your research to the outside world An attractive start package is available for a 10-year period, totalling approximately €2.8 million. This includes €1.4 million allocated for the first 5-year period and a similar amount for the second 5-year period. The package covers your own salary, group member salaries, equipment and running costs. Additional funding for larger equipment and lab. technician support is available and can be negotiated with the director.

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