🎓 PhD Scholarship in Polymer Synthesis (CRP Techniques) — DTU Chemical Engineering 🇩🇰 Copenhagen, Denmark Department: Chemical Engineering Supervisor: Anders E. Daugaard Deadline: October 13, 2026 Duration: 3 years 📋 About the Project This PhD project sits at the intersection of precision polymer chemistry and functional materials design. The researcher will use controlled radical polymerization techniques — primarily ATRP and RAFT — to build well-defined polymer architectures and block copolymers, then characterize how their molecular structure translates into real-world performance. The work bridges fundamental macromolecular engineering with practical, high-performance material applications, and will be carried out in close collaboration with researchers across disciplines, potentially extending to proof-of-concept demonstrations of the materials developed. 🔬 Ideal Candidate - MSc (120 ECTS) or equivalent, with practical experience in polymer synthesis - Strong interest in controlled polymerization, macromolecular engineering, and functional materials - Hands-on experience with ATRP, RAFT, or related CRP techniques (highly desirable) - Experience with silicone chemistry/silicone-containing materials (an advantage) - Solid analytical/characterization skills — NMR, SEC/GPC, FTIR, DSC, TGA, rheology, or mechanical testing - Able to work independently while collaborating across disciplines - Interest in teaching/supervising student projects ✨ Why Apply DTU Chemical Engineering combines micro-, lab-, pilot-, and industrial-scale experimental capability with close, active partnerships across Danish industry and top global universities — giving this project a real runway from fundamental synthesis toward applied, scalable outcomes. DTU is also home to a strong international PhD community (1,600+ PhD students) with dedicated relocation support for candidates moving from abroad. 📍 Copenhagen, Denmark — DTU Chemical Engineering 🔗 More Info: phdscanner.com/opportunities… #PhDPosition #PolymerScience #ATRP #RAFT #MaterialsScience #ChemicalEngineering #DTU #Denmark #Copenhagen #AcademicJobs

⚛️ Tasso Springer Fellowship — PhD in Neutron Research, Forschungszentrum Jülich 🇩🇪 Aachen, Germany 📌 Department: Materials Science and Nanotechnology (JCNS) ⏳ Duration: 3 years 💰 Salary: Pay group 13 (75%), TVöD-Bund 📅 Deadline: Open until filled 📋 About the Project This PhD fellowship is part of the Tasso Springer Program, named after the neutron scientist who bridged research across Jülich, Garching, and Grenoble — and it's built to train the next generation of neutron scattering researchers. This specific project (Project 6) investigates how water and ligand molecules behave dynamically on nanoparticle surfaces, using neutron spectroscopy at large-scale facilities. You'll be jointly supervised across JCNS's outstation in Garching and its institutes in Jülich and Aachen (your actual base), running hands-on experiments plus lab-based characterization, and carrying the work through to data analysis, interpretation, and publication in peer-reviewed journals. 🔬 Ideal Candidate - Master's in solid-state physics, chemistry, crystallography, materials science, or related field - Experience with X-ray or neutron scattering methods - Background relevant to the project's research focus - Solid scientific data analysis experience - Bonus: programming skills (Python, MATLAB) - Independent, collaborative, B2+ English ✨ Why Apply Access to some of the best neutron sources in the world, a genuinely international, cross-site supervision structure (Garching–Jülich–Aachen), 30 days annual leave, dedicated doctoral training through JuDocS, and strong support for conference travel and networking. 📍 Aachen, Germany 🔗 More Info: phdscanner.com/opportunities… #PhDPosition #NeutronScattering #MaterialsScience #Nanotechnology #ForschungszentrumJulich #Germany #SolidStatePhysics #PhDVacancy

🧠 PhD Candidate in Exercise and Brain Health — The MolEx Studies, NTNU 🇳🇴 Trondheim, Norway 📌 Department: Department of Circulation and Medical Imaging (Faculty of Medicine and Health Sciences) 👤 Supervisor: Professor Ulrik Wisløff ⏰ Deadline: October 11, 2026 ⏳ Duration: 3 years 💰 Salary: NOK 580,000/year 📋 About the Project This PhD is part of MolEx ("MOLecular secrets of EXercise"), a research programme at the Cardiac Exercise Research Group (CERG) investigating how exercise reshapes the molecular makeup of human blood — and whether the resulting circulating molecules ("exerkines") help protect the brain against Alzheimer's disease. Building on the group's prior work showing that plasma from exercise-trained donors can counteract Alzheimer-related pathology in experimental models, MolEx runs three coordinated randomized clinical studies — in healthy younger adults, healthy older adults, and people in early-stage Alzheimer's — tracking acute and chronic exercise responses through repeated blood sampling and comprehensive multi-omics profiling (proteomics covering ~11,000 proteins, plus metabolomics, small non-coding RNAs, and blood-based Alzheimer biomarkers). The candidate will take an active role across all three studies, leading their own sub-projects, contributing to data collection (exercise testing, cognitive testing, blood sampling), and shaping their thesis questions alongside the supervisor team as the data emerges. 🔬 Ideal Candidate - Master's degree (120+ ECTS) in exercise physiology, human physiology, molecular biology, biomedicine, neuroscience, medicine, or related field - Strong academic record (B or better) with documented clinical/lab research experience - Excellent written and spoken English - Bonus: bioinformatics/omics data experience (R/Python), exercise testing (e.g. VO2max), cognitive testing with older adults or patients, prior publications ✨ Why Apply Join a world-leading exercise-in-medicine research group with state-of-the-art infrastructure at NTNU and St. Olavs University Hospital, work with unique human multi-omics datasets spanning the lifespan and early Alzheimer's disease, and get career guidance plus dedicated working capital to run your own project. 📍 Trondheim, Norway 🔗 More Info: phdscanner.com/opportunities… #PhDPosition #ExerciseScience #AlzheimersResearch #BrainHealth #NTNU #Norway #Multiomics #PhDVacancy

🧴 PhD Position in Dermatology — Lund University 🇸🇪 Lund, Sweden 📌 Department: Department of Clinical Sciences, Lund, Faculty of Medicine 👤 Supervisor: Professor Artur Schmidtchen ⏰ Deadline: October 16, 2026 ⏳ Duration: 4 years (fixed-term), starting December 1, 2026 📋 About the Project This PhD sits within a translational dermatology group studying how the body's innate defenses regulate infection, inflammation, and wound healing — specifically through peptidomics, the study of bioactive peptides released during tissue repair. The project, "Peptidomics of Wound Fluid Guides the Discovery of Endogenous Peptides," will have you identifying and characterizing endogenous peptides involved in infection and inflammation, developing peptide enrichment and fractionation methods, running LC-MS/MS analyses (DDA and DIA), and mining the resulting datasets for proteolytic signatures and candidate peptides. Promising peptides are then tested in microbiological and cell-based assays for antimicrobial and immunomodulatory effects — work carried out alongside Professor Artur Schmidtchen's seven-member group and in close collaboration with BioMS and Lund's proteomics/bioinformatics experts. 🔬 Ideal Candidate - MSc in Engineering (Biotechnology), specializing in Pharmaceutical or Molecular Biotechnology - Hands-on experience with SDS-PAGE, LC-MS/MS (DDA/DIA), and human sample handling - Background in peptide biology/peptidomics and complex dataset analysis - Familiarity with FragPipe, DIA-NN, and basic Python - Practical experience with antibacterial dilution/diffusion assays - Fluent Swedish and English - Bonus: prior MS-based analysis, international project experience, method development ✨ Why Apply A four-year funded doctoral position in an internationally connected group with strong ties to Skåne University Hospital and Region Skåne, at a university ranked among the world's top institutions — with real infrastructure for translational, clinically-anchored research. 📍 Lund, Sweden 🔗 More Info: phdscanner.com/opportunities… #PhDPosition #Dermatology #Peptidomics #WoundHealing #LundUniversity #Sweden #MassSpectrometry #PhDVacancy

🧬 PhD Candidate in Vascular Medicine — UMC Utrecht 🇳🇱 Utrecht, Netherlands 📌 Department: Clinical Research and Medicine 👤 Supervisor: Frank Visseren ⏰ Deadline: October 20, 2026 💰 Salary: Up to €3,724/month (full-time) 📋 About the Project Cardiovascular disease is still a leading cause of death worldwide, and this PhD tackles a core gap: prevention that's tailored to the individual rather than one-size-fits-all. Based in UMC Utrecht's Vascular Medicine group, you'll help build and refine risk scores for cardiovascular disease, integrating multiple risk factors and health outcomes to predict who benefits most from which treatment or lifestyle change. Work draws on the UCC-SMART cohort and other national/international data or clinical trials, giving hands-on exposure to prognostic research, health economics, and trial design — all feeding into better shared decision-making between doctors and patients. 🔬 Ideal Candidate - Registered basic doctor (completed medical training) - Interest in clinical epidemiology, cardiovascular prevention, or vascular medicine - Curiosity about applying research in clinical practice - Strong fit with risk prediction, shared decision-making, or data analysis - Analytical, collaborative, good Dutch and English - Bonus: research, stats, or programming experience (not required) ✨ Why Apply Combine your PhD with Utrecht University's Epidemiology postgraduate master's, work within a group with its own trial unit and the well-established UCC-SMART cohort, and set yourself up for further clinical training in cardiology, internal medicine, or general practice afterward. 📍 Utrecht, Netherlands 🔗 More Info: phdscanner.com/opportunities… #PhDPosition #VascularMedicine #CardiovascularResearch #ClinicalEpidemiology #UMCUtrecht #UtrechtUniversity #Netherlands #PhDVacancy

🔬 PhD Students in Biophysics/Structural Biology (m/f/d) — Leibniz-FMP Berlin 🇩🇪 Berlin, Germany Department: Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP) — Molecular Biophysics Unit Supervisor: Prof. Adam Lange Deadline: November 30, 2026 Duration: 3 years (starting Jan 2027) Salary: TVöD Bund public collective bargaining scale 📋 About the Project Two PhD positions in Prof. Lange's Molecular Biophysics group, studying membrane proteins (like potassium channels and rhomboid proteases) and supramolecular assemblies via solid-state NMR and cryo-EM. You'll learn cell-free membrane protein expression and gain hands-on access to a 1.2 GHz NMR spectrometer and Titan Krios cryo-EM. 🔬 Ideal Candidate - Background in (bio)chemistry, (bio)physics, or related field - Strong interest in structural biology - Prior protein expression/purification, NMR, or cryo-EM experience — a plus, not required ✨ Why Apply Access to some of the most advanced structural biology infrastructure in Europe, within a well-published, active research group (multiple 2026 papers in Angew. Chem., Nat. Commun., Sci. Adv.). 📍 Based in Berlin, at the Leibniz FMP campus. 🔗 More Info: phdscanner.com/opportunities… #PhD #StructuralBiology #Biophysics #CryoEM #NMR #MembraneProteins #LeibnizFMP #Berlin #Germany

🧬 PhD Position — Reproductive Genetics & Embryo Diagnostics — Vrije Universiteit Brussel 🇧🇪 Brussels, Belgium Department: Faculty of Medicine and Pharmacy — Observational Clinical Sciences Supervisor: Pieter Verdyck Deadline: October 15, 2026 Duration: 12 months, extendable up to 48 months Salary: Government salary scale 📋 About the Project Based at VUB's Center for Medical Genetics — a global leader in preimplantation genetic diagnosis — this PhD develops cutting-edge sequencing-based technologies to diagnose chromosomal abnormalities in early IVF embryos, directly improving patient care in reproductive genetics. 🔬 Ideal Candidate - MSc in Bioinformatics, Computational Biology, Biomedical Sciences, Computer Science, Engineering, or related field - Proven interest in large-scale genomic data analysis - Programming in R or Python - Background in statistics, ML, or data visualization - Linux/HPC familiarity - Independent and collaborative working style ✨ Why Apply A rare chance to work at one of Belgium's eight accredited Centers for Human Genetics, at the forefront of the PGT field, with strong VUB benefits (35 leave days, homeworking, full commute reimbursement). 📍 Based in Brussels, at VUB's Jette Health Campus. 🔗 More Info: phdscanner.com/opportunities… #PhD #ReproductiveGenetics #Bioinformatics #Genomics #IVF #VrijeUniversiteitBrussel #Belgium #Brussels #MedicalGenetics

🎓 4 New PhD Openings at University of Agder Kristiansand, Norway is hiring across ecology, robotics, information systems, and power engineering. 🐛 Ecology & Biodiversity Terrestrial Ecology (Prof. Luc Bussière, deadline Nov 5, NOK 550,800/yr) — studies how agricultural pest populations in Brazil evolve resistance under human-driven selection, linking evolutionary biology to real-world pest management. 🤖 Robotics & Engineering Learning-based Control of Autonomous Robot Manipulation (Prof. Jing Zhou, deadline Oct 28) — develops ML-driven perception and control algorithms for robotic manipulation in demanding settings like offshore operations, validated on real platforms. Power Quality Assessment of Distribution & Transmission Grids (Prof. Rade Ciric & Prof. Joao Leal, deadline Oct 23) — focuses on power quality monitoring and planning for energy grids; needs MATLAB/Python skills. 💻 Information Systems AI, Digital Platforms & Extremism (Prof. Øystein Sæbø, deadline Oct 1) — examines how digital platforms and AI intersect with the spread of extremism, from an information systems perspective. ✨ Why UiA A genuinely cross-disciplinary batch — from field ecology in Brazil to offshore robotics to platform governance — reflecting UiA's breadth beyond a single flagship department. 📍 Kristiansand, Norway 🔗 See all listings: phdscanner.com/phd-vacancies… #PhD #Ecology #Robotics #InformationSystems #PowerEngineering #UniversityOfAgder #Norway #Kristiansand #AI

🔬 Doctoral Researcher — Photoacoustic Aerosol & Black Carbon Measurements — Tampere University 🇫🇮 Tampere, Finland Department: Environmental Policy, Aerosol Physics Laboratory Supervisor: Martin Schnaiter Deadline: October 19, 2026 Duration: 3 years (starting Jan 2027) Salary: ~€3,000/month 📋 About the Project This role sits in the Aerosol and Cloud Particle Optics group, working on next-generation photoacoustic instruments to measure black carbon and aerosols. You'll help build and calibrate a new PAAS instrument version, with the work directly feeding into EU black-carbon monitoring requirements under Directive 2024/2881. 🔬 Ideal Candidate - Master's in physics, engineering, aerosol/atmospheric science, optics, photonics, or related field - Hands-on scientific instrumentation experience - Strong programming/data analysis (Python, MATLAB, or similar) - Black-carbon or photoacoustic instrument experience — a plus - Aerosol measurement, optics, electronics, or calibration experience — valuable - Excellent English; Finnish not required ✨ Why Apply Ground-floor role building new instrumentation within a group with an established international network and a live Arctic dataset to explore. 📍 Based in Tampere, Finland's largest inland city and a major Nordic academic hub. 🔗 More Info: phdscanner.com/opportunities… #PhD #AerosolScience #BlackCarbon #AtmosphericScience #Photoacoustics #TampereUniversity #Finland #AirQuality #EnvironmentalScience

🧠 PhD Position in Neuropsychology, Neuropediatrics, Development & Rehabilitation — University of Bern 🇨🇭 Bern, Switzerland Department: Inselspital, University Hospital — Children and Adolescents Medical Department Supervisor: MSc Saskia Salzmann Deadline: October 24, 2026 Duration: 3 years, 100% Salary: According to SNSF guidelines 📋 About the Project This PhD builds on the Mio study, which tests digital cognitive rehabilitation for children recovering from cancer. The follow-up project, Mio-Blended, combines this digital training with analog therapy, and the student will help design, run, and evaluate the effectiveness study — from study protocol to ethics submission to clinical partnerships. 🔬 Ideal Candidate - Master's in psychology or related field - Strong interest in pediatric neuropsychology & rehabilitation research - Quantitative research skills (R, Python) - Neuropsychological/psychotherapeutic knowledge — a plus - Fluent German & English; French — a plus - Independent, highly self-driven, strong social skills ✨ Why Apply Direct hand in shaping a novel rehabilitation concept from pilot study to clinical evaluation, backed by SNSF funding and an international research network. 📍 Based in Bern, at Inselspital, University Hospital. 🔗 More Info: phdscanner.com/opportunities… #PhD #Neuropsychology #Neuropediatrics #Rehabilitation #PediatricPsychology #UniversityOfBern #Switzerland #ClinicalResearch #DigitalHealth

🧬 PhD Position in Epigenetics, Bioinformatics & Neuroimmunology — Karolinska Institutet 🇸🇪 Stockholm, Sweden Department: Clinical Research and Medicine Supervisor: Dr. Maria Needhamsen Deadline: October 15, 2026 Salary: Monthly salary (doctoral studentship) 📋 About the Project This doctoral position sits within the Karolinska Neuroimmunology and Multiple Sclerosis (KNIMS) network, led by Professor Maja Jagodic — a group of around 100 researchers tackling neuroimmunology from multiple angles. The project itself centers on cell-free DNA (cfDNA) as a window into the molecular processes behind neurological conditions. Rather than working with a single data type, the student will integrate cfDNA findings with clinical cohort data to sharpen our understanding of disease mechanisms and push toward new biomarker strategies. Day to day, that means hands-on work generating high-throughput sequencing data alongside building out the computational and statistical pipelines to make sense of it — with growing ownership of the project as the four years progress. 🔬 Ideal Candidate - Master's degree in bioinformatics, computational biology, molecular biology, biomedicine, or a related field - Programming skills in R and/or Python - Experience in Linux-based environments; familiarity with HPC (meritorious) - Background in high-throughput DNA methylation or single-cell RNA-seq analysis — processing, stats, integration, visualization (advantageous) - Machine learning, cell-type deconvolution, or cfDNA-based approaches (bonus, not required) - Strong written/spoken English and collaborative, interdisciplinary mindset ✨ Why Apply The supervisory team spans bioinformatics, epigenetics, neuroimmunology, and epidemiology, giving the student access to a genuinely multidisciplinary bench of expertise rather than a single-PI silo. Karolinska's world-class clinical cohorts and KNIMS's scale (roughly 100 collaborating researchers) offer a rare combination of translational relevance and technical depth — plus the usual KI doctoral benefits like free gym access and medical care reimbursement. 📍 Based in Stockholm, at one of Europe's leading medical universities. 🔗 More Info: phdscanner.com/opportunities… #PhD #PhDPosition #Epigenetics #Bioinformatics #Neuroimmunology #KarolinskaInstitutet #Stockholm #Sweden #ComputationalBiology #MultipleSclerosis

🎓 PhD Position in Neuro Biomarker Research — University of Gothenburg 🇸🇪 Gothenburg, Sweden 📋 Department: Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy 👤 Supervisor: Michael Schöll 📅 Deadline: October 16, 2026 ⏳ Duration: 4 years full-time doctoral education (initial employment up to 1 year, renewable) 📋 About the Project This PhD is embedded in REAL AD, a large-scale prospective study run jointly with the entire public primary care network of Västra Götaland Region (111 health centres), Sahlgrenska University Hospital's memory clinic, and the region's innovation platform. The project validates a screening approach for early Alzheimer's disease that combines remote digital cognitive testing with blood-based biomarkers (BBMs) — a response to the fact that newly approved anti-amyloid antibodies work best early, but most patients are currently diagnosed in primary care settings not equipped for early detection. Nearly 5,000 participants have already been recruited, with over 3,000 blood samples collected and a sub-cohort undergoing CSF, MRI, and optional tau-PET assessment. Early results already show higher plasma p-tau217 tracking with poorer cognitive performance, and the study's validation phase began in February 2026 with over 90% retention at 18-month follow-up. The PhD student will explore associations between BBMs (including multi-protein panels) and digital cognitive assessments, establish validated thresholds for these tests against reference methods like CSF proteomics, and help drive data-informed implementation of these tools into routine clinical care. 🔬 Ideal Candidate - Completed second-cycle (Master's-level) degree, or equivalent (240+ credits with 60+ at second-cycle level) - English B/6 level or equivalent - Strong grounding in scientific theory and relevant research methodology - Documented analytical/scientific writing ability, shown through an academic paper, thesis, or similar ✨ Why Apply This is a rare opportunity to join a study already flagged as European best practice for precision medicine in routine care — with a huge, well-characterized cohort (nearly 5,000 participants), strong industry backing, and direct ties into an entire regional healthcare system. Rather than working with limited pilot data, students step into an implementation-ready pipeline positioned to genuinely shape how AD screening is done in primary care. 📍 Gothenburg, Sweden — Sahlgrenska Academy, University of Gothenburg (physical presence required) 🔗 More Info: phdscanner.com/opportunities… #PhDPosition #AlzheimersResearch #Biomarkers #Neuroscience #ClinicalResearch #PrecisionMedicine #UniversityOfGothenburg #Sweden #Dementia #DigitalHealth

🎓 Postdoctoral Research Associate: Custom Optical Microscopy Development — University of Cambridge 🔗 More Info: postdocscanner.com/postdoc-o… #PostdocPosition #OpticalMicroscopy #Microfluidics #PhaseSeparation #MaterialsScience #ProteinDesign #Biophysics #UniversityOfCambridge

🎓 PhD Position: Cryogenic Modeling of CMOS-Integrated Memristive Devices for Quantum Computation — IHP Leibniz Institute (Humboldt University of Berlin) 🇩🇪 Frankfurt (Oder), Brandenburg, Germany 📋 Department: Materials Research (Adaptive Materials group) 📅 Deadline: December 1, 2026 ⏳ Duration: Initially 2 years, with option of extension (40h/week) 💰 Salary: As per TV-L tariff 📋 About the Project This PhD sits at the intersection of semiconductor physics and quantum computing hardware. Based at IHP — a Leibniz Institute running a 1500 m² cleanroom pilot line for high-speed silicon-based circuits — the successful candidate will join the Adaptive Materials group to develop cryogenic, open-access models of CMOS-integrated memristive devices, specifically HfO2-based RRAM (resistive RAM) structures. The core work involves electrical characterization and modeling of these devices at cryogenic temperatures, targeting their prospective use in quantum computation. The project has a strong applied dimension too, with close interaction planned between the project leader, lab leaders, and industry consortium partners aimed at transferring the research into real-world technology. 🔬 Ideal Candidate - Master's degree in matter physics, semiconductor devices, materials science, microelectronics, or a related field - Prior experience modeling and/or electrically characterizing HfO2-based RRAM devices - Strong data analysis skills and a background in semiconductor physics - Strong communication skills, independent thinking, and comfort picking up new technical equipment/software - Fluent English required; German welcome and actively supported through in-house courses ✨ Why Apply IHP offers a genuinely industry-connected PhD — you're working at the cutting edge of memristive device physics for quantum hardware, inside a cleanroom facility built for high-speed silicon systems, with a direct pipeline to industry partners. Add flexible working hours, the option to work up to 40% off-site, structured onboarding (welcome and intercultural workshops), and strong support for career development, and it's a well-resourced environment for a technically demanding project. 📍 Frankfurt (Oder), Brandenburg, Germany — IHP Leibniz Institute, in cooperation with Humboldt University of Berlin 🔗 More Info: phdscanner.com/opportunities… #PhDPosition #Memristors #RRAM #QuantumComputing #Semiconductors #MaterialsScience #Nanotechnology #IHP #Cryogenics #GermanyPhD

🎓 PhD Research Fellow in Terrestrial Ecology — University of Agder 🇳🇴 Kristiansand, Norway 📋 Department: Ecology and Biodiversity 👤 Supervisor: Associate Professor Luc Bussière 📅 Deadline: November 5, 2026 ⏳ Duration: 3 years (fixed term) 💰 Salary: NOK 550,800 gross/year 📋 About the Project This PhD explores one of evolutionary ecology's most fundamental questions: how do natural populations respond when humans impose strong, sustained new selection pressures? The project takes advantage of a rare natural experiment in Brazil, where decades of biological pest control in agricultural landscapes have created contrasting histories of selection on pest populations. Combining field sampling in Brazil with laboratory experiments and statistical modeling, the successful candidate will quantify genetic variation in complex traits and test whether these different selection histories have driven resistance evolution or other life-history shifts in crop pests — work that bridges basic evolutionary theory with the applied challenge of predicting how sustainable biological control really is over the long term. Extended research stays in Brazil are central to the project, alongside collaboration opportunities in Scotland and a wider international network. 🔬 Ideal Candidate - Completed (or near-completed) Master's degree in evolutionary biology, ecology, entomology, agricultural biology, or a related field - Experience analyzing biological data in R or a comparable programming environment - Excellent written and spoken English - Bonus: experience in quantitative genetics, experimental evolution, host–enemy interactions, or biological control - Bonus: laboratory experience with insects or other organisms - Bonus: advanced statistical modeling, especially Bayesian/hierarchical models - Bonus: Portuguese or Spanish for Brazil fieldwork; Norwegian/Scandinavian language a plus for life at UiA ✨ Why Apply The chance to do real fieldwork inside a decades-long, large-scale natural experiment in evolution is genuinely rare — most evolutionary biology PhDs work with much shorter or more constrained systems. The position also comes with a strong international dimension, pairing extended Brazil fieldwork with a collaborative network spanning Scotland and beyond, plus UiA's growing research environment focused on ecological and evolutionary change in human-influenced systems. 📍 Kristiansand, Norway — Faculty of Engineering and Science, University of Agder 🔗 More Info: phdscanner.com/opportunities… #PhDPosition #EvolutionaryEcology #TerrestrialEcology #BiologicalControl #PestManagement #UniversityOfAgder #Norway #Entomology #QuantitativeGenetics #AcademicJobsz

🧬 PhD Position in Digital Tools & Biomarkers for Adrenal Tumors (ENDOTRAIN DC6) — University of Athens & Evangelismos General Hospital, Greece 🇬🇷 Athens, Greece (host institution: University of Bergen, Norway) Department: Clinical Research and Medicine — part of Work Package 1: Hormone Dynamics Supervisor: Prof. Dimitra Vassiliadi Deadline: October 25, 2026 Duration: 3 years (possibility of extension) Start date: December 2026 at latest 📋 About the Project This is one of 19 fellowships in ENDOTRAIN, Europe's first Marie Skłodowska-Curie Doctoral Network in digital endocrinology, which brings together AI, sensor technology, omics, and clinical medicine to reimagine how adrenal diseases are diagnosed and treated. This specific position focuses on patients with adrenal tumors, investigating how cortisol levels influence tissue glucose, blood pressure, and sleep — and how those patterns line up with what patients themselves report. The work combines a case-control study collecting wearable data and hormone profiles from healthy individuals and patients, integration of physiological sensor data (activity, heart rate, temperature) with 24h dynamic hormone profiling and proteomics, and direct contribution to building new digital diagnostic tools. Candidates will collaborate closely with fellow doctoral researchers across WP1 and take part in ENDOTRAIN-wide training courses and workshops, with possible secondments to the University of Ulm (wearable data algorithms) or the University of Manchester (mathematical modeling of hormone rhythms). 🔬 Ideal Candidate • Medical Degree (MD) • Interest in adrenal tumor research, endocrinology, and intensive care medicine • Basic data analysis skills • Excellent command of English • Ability to work in an interdisciplinary team • Must hold a master's degree (or equivalent) enabling doctoral studies, and not already hold a doctoral degree • Must not have resided or worked in Greece for more than 12 of the past 36 months before the PhD start date (MSCA mobility rule) ✨ Why Apply This role sits inside a genuinely cross-disciplinary European training network — students move between clinical endocrinology, AI, data science, engineering, ethics, and law, with real secondment opportunities across the consortium. It's a rare setup: hands-on clinical research at one of Greece's largest and most prestigious hospitals, backed by MSCA funding, full-time EU-regulated employment, budget for travel and secondments, and structured international networking and career development. 📍 Athens, Greece 🔗 More Info: phdscanner.com/opportunities… #PhDPosition #DigitalHealth #Endocrinology #MSCA #ENDOTRAIN #AdrenalTumors #WearableTech #AthensGreece #ClinicalResearch #DigitalEndocrinology

🧬 PhD Candidate in (Un)Structural Biology of Wnt Signaling — Masaryk University 🇨🇿 Brno, Czech Republic Department: Konstantinos Tripsianes Research Group – CEITEC MU (Central European Institute of Technology) Supervisor: Konstantinos Tripsianes Deadline: December 23, 2026 Start date: Immediately or upon agreement 📋 About the Project Dishevelled (DVL) sits at the heart of Wnt signal transduction, juggling more than seventy binding partners, heavy multi-site phosphorylation by at least eight kinases (Ck1δ/ε chief among them), and a striking tendency to self-assemble into phase-separated cytoplasmic droplets. This project asks how DVL's intrinsically disordered regions work alongside its structured domains to control all of this — whether disorder actually expands what structured domains can do, whether phosphorylation of individual sites follows a hierarchy or order, and how intrinsic disorder connects to DVL's liquid-liquid phase separation. Candidates will tackle one of these three open questions using an integrated structural biology and biophysics toolkit — NMR, X-ray crystallography, cryo-EM, FRET, ITC, and BLI — paired with cellular readouts (TopFlash, BRET) and proteomics, aiming to reshape how the field understands signal routing through DVL. 🔬 Ideal Candidate • MSc degree (preferably in Life Sciences) • Strong interest in structural biology and biomolecular NMR applications • Experience in structural biology, biochemistry, and molecular biology methods • Proficient English, oral and written • Strong communication skills and a team-player mindset • Curiosity-driven, self-motivated • Bonus: programming skills ✨ Why Apply CEITEC MU gives students open access to state-of-the-art core facilities and experienced technical staff, plus a full package of support: six weeks of paid holiday, medical insurance, meal and kindergarten/pension contributions, a Multisport card, mental health care, on-campus sports lessons, and even an on-campus kindergarten. Add a dedicated Welcome Office, grant support, a CEITEC PhD Committee, and a full calendar of workshops, conferences, and training — this is a well-resourced environment for tackling a genuinely open structural biology question. 📍 Brno, Czech Republic — a growing Central European life-sciences hub 🔗 More Info: phdscanner.com/opportunities… #PhDPosition #StructuralBiology #WntSignaling #NMR #CryoEM #CEITEC #MasarykUniversity #BrnoCzechRepublic #MolecularBiology #LifeSciencesPhD

🎓 PhD Position: DNA-Based Liquid Crystal Elastomers — Towards an Artificial Cytoskeleton — Forschungszentrum Jülich, Germany 📍 Jülich, Germany Department: Biomedical Engineering (Institute of Biological Information Processing – IBI-4) Salary: Pay group 13 (66%) TVöD-Bund Duration: 3 years (extension possible) 📋 About the Project Fabricate and characterize microscale liquid crystal elastomers (micro-LCEs) made from charged microgels using microfluidics, microscopy, and rheology. The goal: understand how design shapes mechanical function, with applications toward bioinspired actuators and artificial cytoskeleton models. 🔬 Ideal Candidate - Master's in physics, physical chemistry, biophysics, or related soft matter field - Data analysis (Origin) and scientific programming experience - Light scattering/microscopy/rheology experience a plus, not required - Strong English, independent and reliable working style - Ideally available by December 2026 ✨ Why Apply One of Europe's largest research institutions, with strong doctoral support (JuDocS), 30 days leave, and a year-end bonus. 📍 Jülich, Germany 🔗 More Info: phdscanner.com/opportunities… #PhDPosition #ForschungszentrumJulich #Germany #SoftMatter #LiquidCrystalElastomers #Biophysics #Microfluidics #Rheology #MaterialsScience #BiomedicalEngineering

PhD student in Machine Learning with a focus on mathematical and statistical methods for uncertainty quantification 🇸🇪 📋 About the Project Cancer treatment decisions increasingly rely on models trained on messy, large-scale clinical data — but those models rarely communicate how confident they actually are. This DDLS-funded PhD project tackles that gap directly: developing new mathematical and statistical methods to quantify uncertainty in information extracted from medical reports, then propagating that uncertainty into probabilistic time-to-event models used in clinical cancer research. The work sits within Uppsala's Division of Systems and Control, where machine learning, optimization, control theory and applied mathematics converge across medicine, energy, neuroscience and security applications — and it's part of the national Data-Driven Life Science (DDLS) program, one of the largest coordinated investments in computational life science in Sweden. 🔬 Ideal Candidate - Master's degree in applied mathematics, applied statistics, engineering physics, physics, machine learning, or a closely related field - Strong foundations in linear algebra, probability theory, and calculus - Solid programming skills - Genuine interest in mathematical/statistical method development - Structured, creative approach to problem-solving; good written/spoken English - Bonus: experience with Bayesian statistics, mathematical modelling, or statistical machine learning ✨ Why Apply This role plugs directly into DDLS — a 3.3 billion SEK, 12-year national program recruiting 25 academic and 7 industrial PhD students in 2026 alone, eventually training 260+ PhD students and 200+ postdocs. Add Uppsala's international network (Oxford, Melbourne, UCLA) and a department that's home to 120 PhD students and 120 teachers, and this is a well-resourced entry point into data-driven precision medicine. 📍 Uppsala, Sweden 🔗 More Info: phdscanner.com/opportunities… #PhDPosition #UppsalaUniversity #Sweden #MachineLearning #UncertaintyQuantification #BayesianStatistics #PrecisionMedicine #DataDrivenLifeScience #CancerResearch #AppliedMathematics

🎓 PhD Researcher in Computational Social Science (m/f/x) — Ludwig Maximilian University of Munich 🇩🇪 Munich, Germany 📋 Department: Faculty of Social Sciences — Geschwister-Scholl-Institute for Political Science 👤 Supervisor: Prof. Dr. Alexander Wuttke ⏰ Deadline: October 20, 2026 (rolling review — apply early) ⏳ Duration: 4-year contract, part-time (75%), with possibility of extension 💰 Salary: TV-L E13, 75% (approx. €44,000–€47,000 gross/year, depending on experience) 📋 About the Project You'll join the Emmy Noether Research Group "Predictably Paradoxical: Mapping the Democratic Mind with AI," which tackles a real limitation of standard surveys: fixed response options can only capture what researchers already anticipated, not what's actually on people's minds. Instead, the group uses large language models as interviewers — "AI Conversational Interviewing" — letting respondents across many countries describe democracy in their own words while an AI probes with follow-up questions. Your dissertation sits within Computational Text Analysis for Mapping Democratic Belief Systems, with room to shape your own specific angle: collecting semi-structured interviews at scale, analyzing the resulting text data, and working to distinguish well-founded democratic convictions from superficial ones. 🔬 Ideal Candidate • Near-complete or completed M.A./M.Sc. in Social Sciences, Psychology, Computer Science, Computational Linguistics, or related field • Python skills and experience with LLMs (orchestrating agents, building dialogue systems) plus text-as-data/NLP methods • Interest or experience in political psychology, persuasion research, belief systems, or democratic attitudes • Strong organizational skills • Good written/oral English; German is an advantage for early-phase experiments • Willing to work on-site with the team (flexible hours, home office options) ✨ Why Apply This role puts you at the intersection of political science, psychology, and computational social science, with strong academic visibility and the backing of a full Emmy Noether-funded research group. Four years gives real room for an ambitious dissertation, and LMU — one of Europe's oldest and most prestigious universities — offers a supportive environment for career growth in a city consistently rated for quality of life. 📍 Based in Munich, Germany — start date 1 January 2027 or as soon as possible. 🔗 More Info: phdscanner.com/opportunities… #PhD #PhDPosition #ComputationalSocialScience #NLP #LLM #PoliticalScience #DemocracyResearch #LMUMunich #MunichGermany