Duties: Preparation methods for the preparation of nanostructured materials and knowledge of spectroscopic techniques to optimize the efficiency of absorbing and converting visible radiation
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duties: We are seeking to appoint a Research Associate (Level B) in Ocean Modelling in the Institute for Marine and Antarctic Studies, which is part of College of Sciences and Engineering at the University of Tasmania. This initial fixed term contract will be for three years with funding available for an extension up to the seven year life of the Centre
Requirements: A PhD or equivalent in fluid dynamics, physical oceanography, atmospheric science, applied mathematics or an equivalent field; Demonstrable knowledge of ocean processes and/or air-sea coupling; Demonstrable knowledge of developing/configuring/running ocean and/or coupled climate models

Duties: Research in the subject area of the announcement, including the development of deep neural networks for the analysis of medical data within ongoing research projects. Teaching at the undergraduate, advanced, and doctoral levels (up to 20% of full-time). Supervision doctoral students and master thesis work. Assisting in seeking external research funding. Collaboration with industry and society within ongoing research projects. Administrative tasks related to the above responsibilities are included. Opportunities for participation in higher education pedagogical competence development will be provided
Requirements: You have a doctoral degree in mathematics; You have excellent proficiency in English, both spoken and written; You have extensive experience in research involving the application of machine learning methods and deep neural networks to medical image data; You have documented experience in collaboration with physicians or other researchers in medicine or with clinical staff; Experience in supervising thesis projects and doctoral students; You have significant experience with development environments for deep neural networks such as TensorFlow, Keras, PyTorch, or similar

Duties: The School embodies a broad range of research interests in the areas of applied mathematics, pure mathematics, statistics, and data science. It has particular research strengths in Algebra, Analysis, Number Theory, Bayesian and Monte Carlo Methods, Biomathematics, Biostatistics and Ecology, Combinatorics, Computational Mathematics, Data Science, Dynamical Systems and Integrability, Finance and Risk Analysis, Fractional Calculus, Functional and Harmonic Analysis, Geometry and Mathematical Physics, Nonparametric Statistics, Ocean and Atmospheric Sciences, Optimisation, Stochastic Analysis, and Stochastic Modelling
Requirements: A PhD in a related discipline, and/or relevant work experience; Proven commitment to proactively keeping up to date with discipline knowledge and developments; Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision

Duties: Research in the field of the third-cycle studies (PhD studies) in mathematics/applied mathematics, institutional duties, which may include: teaching at undergraduate and advanced level in mathematics/applied mathematics, which may involve teaching at the university's two campus locations, Västerås and Eskilstuna, as well as distance teaching. Supervision and co-supervision at undergraduate and advanced level may also be relevant for the position; administration (e.g. course responsibility or program coordination) and development
Requirements: A degree at an advanced level

Duties: The School of Business, Society and Technology is looking for a postdoc researcher in energy engineering with focus on CO2 capture and bio-energy. The position is in the research specialization Future Energy Center (FEC). The postdoc will work in the research project ‘AI assisted CO2 capture in biomass CHP plants’, which is supported by the Swedish Energy Agency, and other projects related to bioenergy. In general, we are aiming to develop artificial intelligence (AI) assisted solutions to optimize the operation of CO2 capture and its integration in different bioenergy based processes and systems, such as the biomass fired combined heat and power plants (CHPs). The work mainly includes process modeling and simulations
Requirements: The applicant is required to have a PhD degree in energy engineering or chemical engineering

Duties: The numerical simulation and visualization of volume deformations constitute an active research domain, characterized by numerous open challenges and opportunities. From materials science to engineering applications such as fluid dynamics and medical imaging, the simulation and visualization of volume deformations are essential. The research group Simulations at UiT is offering a PhD position aimed at delving into these complexities. The PhD project consists of the following key aspects. First, it involves investigating volume representation methods, particularly in materials science. This exploration extends to diverse applications, including the simulation and analysis of composite materials and the dynamics of crack propagation
Requirements: This position requires a master’s degree or equivalent in applied computer science or engineering design, with a completed master’s thesis on a relevant topic and any other requirements. If you are near completion of your master’s degree, you may still apply. In addition, knowledge and experience in the following fields are desirable: Algorithms and programming; Computational geometry; Image registration; Digital volume correlation; Material science CAD/CAM software; Artificial intelligence and machine learning methods

Duties: The main aim of the project the post-holder will join is to develop, improve and apply models for improving situational awareness and informing data collection in outbreaks via data analysis and forecasting. Including systematic assessment of the predictive ability of any forecasts made, and whether the inclusion of individual, spatial, behavioural or genetic data can improve them. There is considerable freedom for work within the aims of the project and scope for the development and use of state-of-the-art methodology and computation with direct impact on public health
Requirements: The successful applicant will have a postgraduate degree, ideally a doctoral degree in a quantitative discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language for mathematical or statistical modelling, including some experience with R, and be committed to open research and/or software development. Experience in outbreak analysis or model-based forecasting is an advantage

Department: Chemistry; Organic Chemistry
Duties: Monitoring enzymatic reactions and biological processes by time-resolved nuclear magnetic resonance
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Department: Engineering; Aerospace Engineering
Duties: In the framework of the research activities for space surveillance and space debris observation and cataloguing, it is of key importance to comprehend and simulate in-orbit fragmentation events. Observation data need to be integrated, in particular for sub-cm size classes, by fragmentation models capable to represent the complexity of such events. The research activity will focus on the implementation and optimization of codes for numerical simulations and on their validation with observation and/or experimental data. The research fellow will be in support to the experimental activities related to fragmentation studies; ing-ind/05 - impianti e sistemi aerospaziali
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duties: The position is focused on research, but the candidate should also be prepared for general laboratory responsibilities, teaching, supervision, and outreach tasks. The main responsibilities of the chosen candidates will be to: (1) design, test and optimize new skin adhesive; (2) develop new design principles for water absorbing skin adhesives; (3) maintain and support experimental equipment related to adhesion and skin technologies; (4) support inclusion of these scientific topics in two bachelor courses; (5) supervise bachelor and master project students; (6) initiate new collaborations with relevant partners outside the university
Requirements: Candidates should have (or being close to achieving) a PhD degree in physical chemistry, polymer science or similar, and with a strong background in experimental research; A strong interest in interdisciplinary research; A desire to work across different laboratories and with different partners; A strong collaborative mind-set; A desire to interact with chemistry students at different levels

Duties: Nanofabrication of photonic cavities using our state-of-the-art cleanroom facilities at DTU Nanolab; Characterization of nanocavities using optical and electrical methods; In-situ characterization of tunable nanocavities using scanning electron microscopy; Modelling of light-matter interaction using analytical and numerical methods
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Our research relies heavily on theory/numerical design, nanofabrication, and optical experiments and we expect the successful applicants to master at least one of these aspects but we welcome applications from students who have demonstrated excellent academic performance in adjacent fields. All projects in the group are strongly collaborative, and strong interpersonal skills are important

Duties: The main responsibilities of the chosen candidates will be to: (1) Select, test and optimize new bio-inspired adhesive formulations for (wet) tissue adhesion; (2) develop new lab-based test methods for wet adhesion performance; (3) perform lab-based tissue-adhesion tests; (4) establish collaborations with relevant partners for in-vivo studies; (5) contribute to applications for additional proof-of-concept and startup funding; (6) take part in planning for potential commercialization
Requirements: Candidates should have (or being close to achieve) a PhD degree in physical chemistry, polymer science or similar, and with a strong background in experimental research; A strong interest in interdisciplinary research; A desire to work across different laboratory and with different partners; A strong collaborative mind-set; A dream of bringing research from the lab to the market

Duties: Optimization of the nanofabrication process of thin-film lithium niobate photonics platform, which is one of the key platforms for future quantum photonics computing technologies. The goal of the job is to obtain the ultra-low loss and high-speed thin film lithium niobate photonics platform, and to fabricate the quantum photonic devices designed by the team members based on the optimized nanofabrication process
Requirements: Having good communication skills in English, both written and spoken; Highly experienced in the nanofabrication process optimization of thin-film lithium niobate platforms; Highly experienced in nanofabrication of thin-film lithium niobate photonic devices; Highly experienced in ebeam lithography, thin film deposition, ICP etching process engineering and morphological characterizations; Good team-working spirit

Duties: As a comprehensive university offering a wide range of high-quality educational opportunities, the University of Basel attracts students from Switzerland and the entire world, offering them outstanding studying conditions as they work towards their bachelor’s, master’s or PhD degrees. Today, the University of Basel has around 13000 students from over a hundred nations, including 3000 PhD students. The University of Basel has seven faculties covering a wide spectrum of academic disciplines. In international rankings, the University of Basel is regularly placed among the 100 top universities in the world thanks to its research achievements
Requirements: We crawl all higher jobs in research, teaching and administration at Universität Basel automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (desktop version), see "Search yourself at 8000 institutions"

Duties: The project is centered on how RNA molecules fold during synthesis (co-transcriptional folding), a kinetic non-equilibrium process important in Nature and harnessed for making RNA origami structures. The postdoc focus will be on experimental investigations of RNA folding and conformational heterogeneity and dynamics using single molecule fluorescence and FRET tools. The postdoc is expected to interact with the computational and synthetic biology groups in the COFOLD consortium for the design of RNA structures, including RNA origami structures, and development of a folding model
Requirements: The candidate should hold a PhD in biophysics, chemistry, nanoscience or related subjects. He/she should have a strong background in experimental biophysics or RNA folding and preferably hands on experience in single molecule fluorescence spectroscopy

Department: IWU - Werkzeugmaschinen und Umformtechnik
Duties: Unterstützung in der System- und Prototypenentwicklung, -konstruktion, -umsetzung und; validierung; Eigenständige Planung und Durchführung von Versuchen und deren anschliessende Auswertung; Ermittlung von Werkstoff- und Bauteilkennwerten
Requirements: Studium Maschinenbau, Mechatronik, Werkstoffwissenschaft, o.ä; Selbstständiges und zielstrebiges wissenschaftliches und praktisches Arbeiten; Handwerkliches Geschick und Experimentierfreude; Konstruktionserfahrung wünschenswert; Kenntnisse im Umgang mit Materialprüfmaschinen und der experimentellen Versuchsdurchführung und; auswertung

Duties: Analyse antibody sequences (liability screening, clustering, etc.) from Sanger and Next Generation sequencing platforms; Develop and implement computational pipelines and algorithms for analysing antibody sequences; Organize data storage in accessible formats for other team members; Prepare data summaries, overviews, and visualizations; Participation on in silico design of humanized antibodies; Integration of Electronic Lab Notebook system in the laboratory
Requirements: Master's or Ph.D. degree in Bioinformatics, Computational Biology, or a related field; Strong background in protein bioinformatics with a focus on sequence analysis; Knowledge of next-generation sequencing (NGS) data analysis and genomics databases; Proficiency in programming languages commonly used in bioinformatics such as Python or R; Familiarity with statistical methods and machine learning techniques applied to biological sequence data

Duties: Research, design, and implement algorithms in Deep Learning for Medical Image Analysis problems; Close collaboration with clinical customers to define, implement and validate clinical prototypes; Advance the state-of-the-art, including generating patents and publications in top journals and conferences; Work on large-scale, real-world problems; Fast prototyping, feasibility studies, specification and implementation of image and video analysis product components; Working on challenging and impactful clinical problems with large-scale data sets
Requirements: Ph.D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math; Strong background in Deep Learning and/or Medical Image processing; 4+ years of industry experience or post-doctoral studies in Computer Vision, Machine Learning and Image Understanding preferred

Duties: Provide strategic direction for prenatal bioinformatics efforts, aligning strategies with company goals and collaborating with cross-functional teams; Lead the Bioinformatics team, fostering innovation, collaboration, and growth. Guide project priorities, resources, and career development; Develop and execute bioinformatics strategies to enhance next-generation sequencing pipelines for the Unity product line, driving innovation
Requirements: PhD in Bioinformatics, Computational Biology, Computer Science, Bioengineering, Physics or related field; Demonstrated ability to manage and lead a team of bioinformaticians; Excellent project management skills and attention to detail; Excellent communication and ability to work collaboratively with a cross-functional team; 10+ years of bioinformatics experience (including PhD years or afterward)

Duties: At Sulzer, you are in charge of your career and continued development. Take the opportunity to broaden your skills by seeking new roles that reflect your experience. Create your own impact by building solutions that help make lives safer, smarter and more sustainable
Requirements: Bachelor’s or master’s degree in mechanical engineering or manufacturing engineering from an ABET-accredited program; Basic understanding of Robotic Programming, CAM, PLC programming and wiring, Arc Welding, and lean manufacturing practices

Duties: Design, implement and evaluate leading-edge machine learning methods related to cancer immunotherapy; Explore large-scale immunological datasets, including genomic, transcriptomic, mass spectrometry, and structural data, to derive and integrate orthogonal contributors of effective immunotherapy design; Stay abreast of scientific findings and technological developments and continuously improve computational methodology; Maintain detailed documentation of data analysis methods and results; Present findings and participate in cross-function team meetings
Requirements: PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field + 2 years of relevant experience, or MS degree + 5 years of relevant experience; Strong track record in machine learning algorithm development, preferably with applications in immunology, genomics, or personalized medicine; Proficiency in handling and interpreting large-scale biological datasets, including genomic and proteomic data; Strong programming skills in Python/R and with ML frameworks (e.g. PyTorch)

Workload: 60-100%
Duties: Develop medium frequency high-power transformers, incorporating medium voltage insulation, for emerging applications within power electronics; Generate innovative concepts at the crossroads of power electronics and magnetics; Plan, setup and execute experimental characterization and model validation; Apply your expertise in magnetic components to contribute to relevant research projects; Draft patent applications, craft scientific publications and write technical reports. based on your achieved results; Cultivate a professional network within the company, actively sharing your knowledge and expertise
Requirements: Ph.D. in electrical engineering, power electronics, physics, or a related field; Excellent scientific publication record in high impact journals and top power electronics conferences; Possess expertise in designing medium frequency transformers with medium voltage insulation; Demonstrate experience working with various magnetic core materials and windings (e.g., Litz, foil) within the medium to high frequency range

Workload: 50-100%
Duties: Testing and analyzing of materials to support research projects with a direct industrial relevance; Driving of material testing and analytics from planning and sample preparation to measurements and documentation; Maintaining and updating measurement equipment infrastructure; Working in interdisciplinary project teams at the interface between material science and electrical engineering; Contributing to a deep scientific understanding of the processing-structure-property relationships in materials; Monitoring of new material developments and technologies
Requirements: BSc/MSc in material science, mechanical science or physics is a plus; Knowledge of and experience in state-of-the-art materials analysis techniques; Basic understanding of the properties of all materials classes (metals, polymers, ceramics, composites); Experience in sample preparation techniques; A strong background in metallography, optical and scanning electron microscopy, X-ray diffraction, gas and combustion analysis and mechanical testing is a plus; Genuine enthusiasm for working on topics enabling the energy transition and ensuring a greener society

Duties: Assist in developing and conducting research projects and investigations, including experiment design, experiment execution, data analysis and documentation of experiment results requiring originality, creativity and innovation; Work in close collaboration with clinical partners; attend clinical meetings, help solving clinical and practical problems, present and discuss results with clinicians; Perform complex statistical analysis of collected/processed data and write interpretative reports; Proactively undertake development to grow effective researcher capabilities to support career interest and goals; Assist with grant preparation and reporting
Requirements: A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as medical imaging, neuroscience or related field. Please note: To be eligible for this role you must have no more than 3 years (full-time equivalent) of postdoctoral research experience; Ability to investigate issues of complex and ill-defined problems and develop appropriate responses by adapting/creating and testing alternative solutions; Demonstrated performance in developing, implementing, and validating new medical image analysis algorithms with experience in one or more of the following: machine learning, deep learning, image segmentation, or image registration