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£44,105 - £50,163 per annum, including London Weighting Allowance

United Kingdom, London

About us

The applicant will join the new Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and clinicians at Great Ormond Street Hospital.

About the role

We are seeking an ambitious and motivated computational research scientist to join our new Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab.

The project aims to


	organise and manage large multicentre datasets of neuroimaging data
	develop machine learning / AI tools to identify abnormalities in epilepsy and other neurodevelopmental disorders
	create translational tools for evaluation on clinical cohorts.


The post-holder will also be expected to work collaboratively on a range of projects within the IMAGINE lab, which includes engineers, data scientists and clinicians.

This is a full time post (35 hours per week) and you will be offered a fixed term contract until 01/04/2028.

About You

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria


	PhD qualified in relevant subject area (or pending results)*
	Experience working with large imaging datasets
	Excellent computer programming abilities evidenced by available code
	Presenting scientific research in the form of papers, posters or oral presentations
	Ability to work well as an effective member of a multidisciplinary team, collaborating with clinicians, engineers and neuroscientists.


* Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.

Desirable criteria


	Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
	Previous experience working with neurodevelopmental imaging data
	Previous experience in working on modelling development (e.g. growth curves, normative models)


Full details of the role and the skills and experience required, can be found in the attached job description which provided on the next page.

Further information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers review your application, please take a look at our ‘ How we Recruit’ pages.

This role does meet the requirements of the Home Office and therefore we are able to offer sponsorship for candidates who require the right to work in the UK.


King's College London

The basic salary of approximately EUR 3.578,80

Austria, Vienna Danubepier Hov

51 Faculty of Physics
Startdate: 01.01.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc)
Limited until: 31.12.2027
Reference no.: 3284

Your personal sphere of influence:

The Marie Skłodowska-Curie Actions Doctoral Network (MSCA-DN) "Magnetic Soft Matter for Robotics" (MAESTRI, Grant ID 101119614) is an interdisciplinary research training network involving 7 universities and 2 companies from 5 countries. It is funded under the "first pillar" of the Horizon Europe program called "Excellent Science". MSCA-DN MAESTRI addresses the need for training a new kind of expert in the emerging application field of magnetic soft robotics, which we believe will lead to groundbreaking technologies in the near future. It is an interdisciplinary collaboration among specialists from various fields, including Materials Science, Biology, Physics, and Engineering Science.
https://maestri-project.eu/

You will be working in the Dipolar Soft Matter group at the Faculty of Physics with the objective of developing robust and predictive simulation approaches that enable accurate magneto-mechanical coupling for modeling magnetic elastomers. The aim is to gain a fundamental understanding of the interplay between magnetic particle shape, concentration, embedding techniques, and the magneto-mechanical responses of elastomers.

As part of the Doctoral Network, you will actively collaborate with other nodes, particularly through secondments to Ostbayerische Technische Hochschule Regensburg to gain complementary expertise on materials for control design and experimentation, and to the University of Ljubljana to acquire expertise in materials characterization and optical feedback concepts. To gain exposure to the industrial implementation of magnetic elastomers, an extended stay at Prensilia — a spin-off company of the Scuola Superiore Sant'Anna, with extensive experience in designing and developing multi-articulated grippers — is also planned.

Your future tasks:


	develop, implement, test and employ a coarse-grained, bead-spring-based approach to simulate both bulk and semi-finite samples of magnetic elastomers with predefined compressibility.
	perform extensive simulation, aiming at establishing the relationship between internal structure of the elastomer and its mechanical response with particular emphasis on the elastomer free surface deformation.
	Presentation of research activities at international conferences
	Publications of research papers


This is part of your personality:


	Completed Master studies in physics or related disciplines (applied mathematics, physical chemistry or theoretical/computational chemistry)
	Knowledge of statistical physics and classical mechanics
	Excellent command in written and oral English (C1)
	Team player and high social/communicative skills
	Experience in computer simulations of soft condensed matter is a strong requirement


What we offer:

Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (upon agreement).

Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment.

Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport.

Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.

Fixed-term contract and fair salary: The basic salary of approximately EUR 3.578,80 (14 times a year).

Equal opportunities for everyone: We look forward to diverse personalities in the team!

It is that easy to apply:

To apply for this position, kindly provide:


	a letter of motivation including a 1-page statement of your research interests, relevant skills and experience;
	a CV (Europass model mandatory) including publication list (if publications are available);
	copies of relevant certificates and
	names and contact details of at least two referees willing to write confidential letters of recommendation.


Attach all application documents to an email message as a single PDF file (maximum size 5 MB).

To be considered for this position, please send your complete application with the tag DC5 in the subject line to our recruitment email address application.maestri.physik@univie.ac.at

(Please do not use any additional text in the subject line of your email except DC5.)

If you have any questions, please contact:

Sofia Kantorovich

sofia.kantorovich@univie.ac.at

We look forward to new personalities in our team! 
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

University of Vienna. Space for personalities. Since 1365.

Data protection

​Application deadline: 12/15/2024


University of Vienna

$122,046 per annum (plus 17% superannuation)

Australia, Adelaide


	Based in the Facilities Management Unit at the City West campus
	Full time, continuing position
	Salary: $122,046 per annum (plus 17% superannuation)


About You

You have a proven track record in delivering commercial projects successfully within the built asset environment, supported by strong project management expertise. You excel at scoping, planning, and executing multiple projects concurrently, delivered on time and within budget. You have outstanding stakeholder management and communication skills, and can navigate complex organisational settings effectively, collaborating well with a diverse array of stakeholders.

About the Role

You will be responsible for leading and managing the planning and delivery of complex projects in support of capital works and maintenance programs within the University’s built asset environment. Individual projects may have values up to $20m.

About the Facilities Management Unit

The Facilities Management Unit (FMU) is responsible for ensuring the physical environment of the campus is safe, functional, and conducive to learning and research. It comprises three main groups which are Campus Operations, Capital Development and Commercial Services. These groups enable the Unit to create, operate and maintain outstanding facilities which support the University's teaching, research and support functions.

About UniSA

The University of South Australia is Australia’s University of Enterprise. Our culture of innovation is anchored around global and national links to academic, research and industry partners. Our graduates are the new urban professionals, global citizens at ease with the world and ready to create and respond to change. Our research is inventive and adventurous and we create new knowledge that is central to global economic and social prosperity. 

Essential Skills and Experience


	Qualifications and substantial experience in Project Management within the built environment
	Demonstrated experience in analysing stakeholders’ needs and developing robust project briefs
	Proven ability to use effective Project Management skills to successfully deliver a portfolio of building related project Knowledge and understanding of technical issues and requirements for commercial buildings
	Demonstrated experience in the effective leadership and management of large project teams including technical and specialist resources and external consultants


Benefits

Getting a great job working with the best is just the start. UniSA rewards its staff with a wide variety of benefits such as:


	Access to great personal development opportunities
	Generous superannuation contributions of 17%
	Flexible working conditions
	Work life flexibility including working from home, family responsibility leave and individual flexibility agreements Employee assistance and development programs


Culture

At the University of South Australia, we value workplace diversity and are committed to providing a supportive, inclusive, and respectful work environment for all people. We strongly encourage applications from Aboriginal and Torres Strait Islander Peoples, women, members of the LGBTIQ+ community, people of culturally diverse backgrounds and people with disability.

Start Your Unstoppable Career!

For a copy of the position description and to apply, please visit Working at UniSA. The online application form will list the specific selection criteria that you need to address.

Please address your cover letter to Ruth Haren, Team Leader: Recruitment Central. For further information about the position or the recruitment process, please contact UniSA Recruitment Central on +61 8 8302 1700 or via email at recruitment@unisa.edu.au using job reference number 6704.

Applications close: 11.30pm Sunday 1 December 2024

We are committed to providing an equitable and barrier free recruitment process and encourage you to share any support, adjustments and/or access requirements you have by contacting our Recruitment Central team on recruitment@unisa.edu.au.

Anything you tell us will be kept completely confidential. Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment.

CLICK HERE for Position DescriptionOpens in new window

How to apply:


	Preview Application FormOpens in new window


Applications must be lodged online, please note UniSA does not accept applications via email.


	Start your application by clicking the ‘BEGIN’ button
	If you have already registered for an account, please login before starting your application
	If you have forgotten your log in details, click here to reset your password
	You will be able to save your progress throughout your application


UniSA is committed to developing a diverse workforce and a constructive enterprising culture in which everyone can thrive.

By choosing to continue, you agree to the privacy policy. Show Privacy Policy


University of South Australia

Australia


	Full time fixed term contract for 12 months in the first instance, with possibility of extension
	An exciting opportunity in a newly created role within the team focused on wearables and health within the Charles Perkins Centre and the Faculty of Medicine and Health
	Base Salary ranging from $104, 633 to $113,992 + 17% superannuation 


About the opportunity

The University of Sydney, Charles Perkins Centre -Since our inception 160 years ago, the University of Sydney has led to improve the world around us. We believe in education for all, and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion and underpin our long-term strategy for growth. We are Australia's first university and have an outstanding global reputation for academic and research excellence. Across our campuses, we employ over 8,100 academic and non-academic staff who support over 73,000 students.

Charles Perkins Centre is at the forefront of multidisciplinary research and education and undertakes high-impact research that anticipates the cardiometabolic health issues of tomorrow while overcoming the challenges of today.

We are seeking to employ an enthusiastic, talented, and passionate Data Scientist (HEO 7) to provide technical support and leadership to the research team of Professor Emmanuel Stamatakis.

This is an excellent opportunity for an outstanding Senior Data Scientist to develop a strong career in health-related research and gain substantial experience and receive training on wearables-based measurement of physical activity and sleep. The position is located at Charles Perkins Centre, a leading multidisciplinary research institute of the University of Sydney, the incumbent will support the activities within the newly founded Mackenzie Research Wearables Hub at Charles Perkins Centre.

Your key responsibilities will be:


	Analyse and process multimodal sensor data collected from wearables such as ECG, altimeter, accelerometer, gyroscope, polysomnography (PSG), and EMG
	work with data from wearables worn on various body locations (wrist, thigh, chest, head), including nanopolymer technology
	apply machine learning techniques such as supervised, semi-supervised, deep learning, reinforcement learning, transfer learning etc. to enhance activity recognition.
	collaborate with research teams across multiple studies to ensure accurate data collection, labelling, and quality control
	manage large datasets and conduct data preprocessing, feature extraction, and model validation using appropriate statistical and computational methods.
	develop and refine signal processing algorithms to handle data from complex wearables, including ECG, EEG, and EMG signals
	implement and optimize activity classification algorithms for highly variable activities, including sleep stages, daily activities, and specialized movements (e.g., stair climbing, gym workouts).
	perform cross-validation, error analysis, and model tuning to ensure high accuracy in real-world applications
	stay updated on the latest developments in wearable technology and machine learning to improve current methodologies and propose innovative solutions.


About you

To be successful in this role, you will have:


	Honors or master's degree in data science, with relevant experience in a related field, or degree in a related area and substantial experience as research assistant/research officer
	experience working in a research-intensive environment
	strong background in machine learning (e.g., classification, supervised and semi-supervised learning, transfer learning) and signal processing
	expertise in working with wearable sensor data such as ECG, accelerometers, gyroscopes, PSG, EMG.
	proficiency in Python, R, or other relevant programming languages
	experience with tools for time-series analysis and signal processing (e.g., scikit-learn, TensorFlow)
	experience developing models using multimodal sensor data from wearables placed on different body locations
	strong understanding of biomedical signal processing and familiarity with bioinformatics tools.
	knowledge of handling and analysing large datasets, with experience in data wrangling, data visualization, and feature engineering
	good inter-personal skills and capacity to resolve challenging situations in the most professional manner.
	familiarity with nanopolymer technology in wearables would be desirable
	possess a capacity to work against deadlines in a fast -paced and vibrant research environment
	willingness and capacity to occasionally (e.g. 1-2 times per month on average) work out of regular office hours to accommodate the multiple time zones of the Team's international collaborators.


To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

Sponsorship / work rights for Australia

Please note: Visa sponsorship is not available for this position. For a continuing position, you must be an Australian or New Zealand citizen or an Australian Permanent Resident.

Australian Temporary Residents currently employed at the University of Sydney may be considered for a fixed term contract for the length of their visa, depending on the requirements of the hiring area and the reasons for the position.

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community that reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds.

How to apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.

For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Rachel Yazigi Recruitment Operations by email to rachel.yazigi@sydney.edu.au.

Copyright The University of Sydney

The University reserves the right not to proceed with any appointment.

Click to view the Position Description for this role.

 


The University of Sydney

Finland, Helsingfors (Helsinki)

Postdoctoral Fellowship in Spatial Multiomics

Are you passionate about the tumor microenvironment and spatial biology in cancer? Join us and experience Finland, the happiest country in the world! In Helsinki, you will find an international dynamic culture combined with an excellent quality of life close to nature and with the cleanest air in the world.

Our research

A postdoctoral position around tumor microenvironment and spatial omics analysis is now open in Anniina Färkkilä’s lab (www.farkkilab.org), located at Biomedicum, University of Helsinki, Finland. The lab is part of the Research Program for Systems Oncology, Faculty of Medicine, and FIMM, Helsinki Institute for Life Sciences.

The overall goal is to discover how the tumor cells evade the immune system in ovarian cancer, with prospects of leading to major scientific breakthroughs and successful translation of the findings into clinical trials. We have collected a unique dataset from more than 500 patients in the prospective Oncosys-OVA study. This dataset includes multi-omics, multi-site spatial profiling data, along with whole exome- and RNA-sequencing, highly multiplexed imaging, and curated clinical data. Our multidisciplinary team has also developed experimental and functional models to validate findings emerging from the data, generating a unique environment to drive translational scientific discoveries with high clinical relevance. We have demonstrated optimizing and clinically implementing a genetic biomarker for ovarian cancer patients, that is currently used for centralized national testing in Finland (https://pubmed.ncbi.nlm.nih.gov/36581696/).

Our lab received a prestigious ERC grant in 2022 and has received steady funding from e.g. the Research Council of Finland, Sigrid Jusélius Foundation, and the Cancer Foundation Finland. We also actively collaborate with esteemed research institutes globally, including Harvard Medical School and Netherlands Cancer Institute.

Your mission

This position is perfect for someone aspiring to become a future group leader. We seek a candidate with expertise in imaging, spatial biology, transcriptomics, or proteomics. You will spearhead the development of innovative spatial biology and proteomics methods, contributing to high-quality translational research. The project details will be customized to align with your skills and interests, aiming to find the intersection between your expertise and our research focus.

Requirements


	Experience in clinical tumor samples and image analysis
	Tumor biology and immunology
	Histopathology
	Solid proficiency in bioinformatics
	Single cell, spatial or proteomic analyses


What we offer

We are an interdisciplinary team dedicated to improving cancer treatment and patient outcomes. Our flexible, collaborative approach prioritizes efficient teamwork and fosters a vibrant community, with various activities showcased on our lab's Twitter account (https://x.com/systemtumor).

Joining us means engaging in a dynamic research culture with exceptional training and mentorship to support your ambitious career goals. You’ll work alongside a multidisciplinary team, mentor students, contribute to impactful publications, and gain leadership experience. This postdoctoral role provides a solid foundation for future career advancement.

Our lab's collaborative atmosphere and global scientific networks drive research that directly aligns with clinical and immuno-oncological fields, focusing on translating discoveries into clinical biomarkers for patient benefit. We do not use animal models in our work.

The position is available from January 2025 depending on the selected candidate’s availability. The project offers an initial fixed-term contract of three years, with a trial period of six months. A monthly salary and benefits according to the Helsinki University standards will be applied ranging from 3700 to 4000€ per month guaranteeing a good quality of life in Helsinki.
How to apply

Applications should be submitted through the University of Helsinki Recruitment System via the "Apply now" button.

Internal applicants (current employees of the University of Helsinki) should submit their applications using the "Employee Login" button.

Please include the following enclosures:


	Cover letter including three referees (max. 1 page)
	CV (max. 2 pages)
	Publication list



For further information contact Anniina Färkkilä: anniina.farkkila@helsinki.fi

Application deadline is December 11th, 2024.

The University of Helsinki welcomes applicants of any gender, age, linguistic or cultural background, or minority group.

About the Faculty of Medicine

The Faculty of Medicine promotes high-quality scientific research and provides research-based undergraduate and postgraduate education in medicine, dentistry, psychology, and logopedics, as well as an international Master's Programme in Translational Medicine. In addition to its teaching and research activities, the faculty serves as a significant expert organization in the healthcare sector and contributes to ethical discourse in the field.

Together with HUS Helsinki University Hospital and the Helsinki Institute of Life Science (HiLIFE), the Faculty of Medicine constitutes an academic medical centre recognized for excellence in international comparisons.

JOIN US TO BUILD A BETTER WORLD – TOGETHER!

#HelsinkiUniCareers


University of Helsinki

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