Pirogov Russian National Research Medical University

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Pirogov Russian National Research Medical University (RNRMU)

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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

United Arab Emirates, Abu Dhabi

Description

Program Overview

The NYU Abu Dhabi Summer Academy is an 18-month university preparation program designed to enhance the academic profiles of highly motivated Emirati high school students. The program features intensive instruction in Leadership and Public Speaking, Critical Thinking and Writing, Mathematical Reasoning for the Sciences, College Readiness and Success, and IELTS Preparation over the course of two summers and an intervening academic year. 

Following a competitive admissions process, up to 90 program participants are selected each year as recipients of the Sheikh Mohamed bin Zayed Scholarships for Outstanding High School Students, which enables them to attend the Summer Academy.

In this mixed-gender program, students are exposed to a rich cultural and rigorous academic program which enhances their ability to gain admission to and perform well at top-tier English-language universities. The program begins during the summer following the 10th year of high school and continues for the following 18 months, with two intensive summer sessions of study in Abu Dhabi at the NYUAD Campus. In addition, students participate in online study and academic refresher weekends during the following academic year.

Program Goals

University Preparation

Students gain the academic, cultural, and social skills necessary for success at top-tier universities. Summer Academy graduates have attended Yale, NYU New York, NYU Abu Dhabi, Princeton, United Arab Emirates University, The London School of Economics, George Washington University, King’s College London, The University of Pennsylvania’s Wharton School, and many others.

Academic Preparation

We introduce students to accelerated study of mathematics, critical thinking and writing, the humanities and to the value of a liberal arts education.

Cultural Awareness

Students develop their understanding of the social and cultural norms of universities and build useful intercultural competencies for success in university.

Test Preparation

We prepare students to excel on the standardized tests necessary for university entry.

Leadership and Public Speaking Skills

With Leadership and Public Speaking as a required course in the Summer Academy,  our program spurs confidence, personal growth, maturity, and leadership skills.

Social Networking

We bring together top students from across the UAE who form a supportive and challenging social network among themselves and with Summer Academy alumni who have gone on to university study, graduate school, professions, and leadership careers.

Job Summary

The Teaching Assistant for the Mathematical Reasoning for the Sciences (MTH) course will support course delivery for up to two sections of Summer Academy students - students in their first summer of the program and students in their second summer of the program (Summer I and Summer II). The Teaching Assistant will also support programmatic activities throughout the length of the appointment (including weekends) and participate in selection activities and graduation events as needed.

Length of Appointment


	Summer Session: Five weeks from approximately July 7 - August 8, 2025
	Approximately two meetings prior to the summer session’s start for orientation activities


Principal Responsibilities

The job’s activities in terms that enable someone who knows nothing about the job to understand what is done in each activity.


	Support the delivery of the MTH course for two sections - the Classes of 2025 (Summer II) and 2026 (Summer I) in Abu Dhabi
	Under the supervision of the MTH instructor(s), meet students individually or in small groups during study halls, meals, breaks, or in the evenings to assist with reviewing classroom instruction, reading, writing, and homework assignments
	Attend any pre-program meetings and/or training sessions
	Assist the MTH instructor(s) in class with group work and with judging presentations, as necessary
	Be available to individual students and groups in need of assistance, as well as to instructors undertaking cross-curricular or collaborative projects
	Provide students with ongoing and regular feedback (oral and written) during the course 
	Participate in faculty meetings by providing detailed feedback on student progress 
	Report any instances of student misconduct, academic performance concerns, or health issues to the Summer Academy administration
	Contribute to the overall collegial atmosphere of the Summer Academy
	Attend and provide assistance as needed with co-curricular events and activities throughout the summer session, which will entail leading small groups of students on excursions and trips, or supporting the operations of the program as needed
	Oversee and support students during assigned day trips, extracurricular activities, and events, ensuring a safe and engaging environment that promotes learning and development


About NYU Abu Dhabi

https://nyuad.nyu.edu/en/

NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region.

NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.

NYUAD is committed to building and strengthening a university-wide culture of inclusion, diversity, belonging and equity (IDBE), which is fundamental to the University’s commitment to excellence. Visit our website for more information on NYUAD’s commitment to IDBE and how these values are fundamental to our mission.

Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.|

Qualifications

Qualifications must support the essential functions and serve as the primary criteria for selecting candidates.

Required Education, Certifications, Licensing, or Training


	Bachelor’s degree in Mathematics, Statistics, or a related subject
	Availability to teach in Abu Dhabi during the dates listed above
	Ability to provide some online instruction during the dates listed above, if necessary


Preferred Education, Certifications, Licensing, or Training


	Advanced degree (Master’s or PhD) in Mathematics or related subject
	High-school or college-level experience teaching in English


Required Work and Related Experience


	Demonstrated experience in tutoring Mathematics or related subjects
	Demonstrated interest in cross-cultural education and enthusiasm for teaching
	Experience supervising high school students in a co-curricular setting (i.e. school or after school program)
	Availability to assist with the planning of the program prior to the start of classes


Preferred Work and Related Experience


	Work or internship experience teaching math to students for whom English is as an additional language
	Familiarity with online and face-to-face instruction


Application Instructions

Applicants must submit a cover letter and curriculum vitae in PDF format. For instructions and information on how to apply, please visit our website at https://nyuad.nyu.edu/en/about/careers/academic-support.html.

NYUAD is committed to equality and is an equal-opportunity employer. We encourage applications from candidates who will enrich and contribute to our university's cultural and ethnic diversity.

If you have questions about this position, please email nyuad.academicrecruitment@nyu.edu

For more information about the program, please visit www.nyuad.nyu.edu/summer.academy. 

Join NYU Abu Dhabi, an exceptional place for exceptional people.

NYUAD values diversity, inclusion, belonging, and equity; such principles are fundamental to the university's commitment to excellence. NYUAD is an equal-opportunity employer.  We particularly welcome applications from members of traditionally underrepresented groups, women, and UAE nationals. Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’s mission.

@WorkAtNYUAD

#nyuadinstructorcareers

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.

Deadline: Jan 15, 2025 at 11:59 PM Eastern Time


New York University Abu Dhabi Corporation

Macao

(Ref. No.: IOTSC/UPSDP/AAP/11/2024)

The University of Macau (UM) is an internationalized public comprehensive university in the Macao Special Administrative Region (MSAR) located at the west bank of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The GBA is rapidly developing into one of the leading technology and innovation hubs of the world. UM is placed No. 180 in the THE World University Rankings and placed No. 245 in the QS World University Rankings. With a scenic campus of approximately 1 km2 on Hengqin island, UM has achieved significant progress in the past decade as evidenced by its rising international repute, state-of-the-art teaching and research facilities, and the establishment of three State Key Laboratories in microelectronics, Chinese medical sciences, and internet of things for smart city. To support economic diversification of MSAR and deepen collaboration between MSAR and Guangdong Province in Hengqin island, UM will continue to invest in cutting-edge research and develop interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain science and economics and finance. Leveraging its ‘4-in-1’ model of education and residential college system, UM provides all-round undergraduate education, nurturing talent to support social and economic development in MSAR and the GBA as a whole. With unprecedented growth and opportunities for development, UM offers promising career prospects to academics at all levels. It may be noted that English is the working language and the primary medium of instruction at UM.

The State Key Laboratory of Internet of Things for Smart City (University of Macau) invites applications for the position of Associate/Assistant Professor, who will also be a joint faculty member in the Faculty of Science and Technology, in the following disciplines:


	Urban Sustainability 
	Climate Change and Sustainable Urban Development 
	Urban Energy Use, Emissions and Carbon Neutrality
	Safety and Resilience of Urban Systems 
	Urban Hydroclimate 
	Urbanization Modeling 


State Key Laboratory of Internet of Things for Smart City (University of Macau) - SKL-IOTSC

The State Key Laboratory of Internet of Things for Smart City (University of Macau) is expected to promote smart city development in prospective of IoT, Big Data Technology and Engineering in Macao and inject a fresh impetus to the development of the Greater Bay Area by enhancing research and training in the field and providing technical support plans for improving economic performance, people’s quality of life, and social management. More details about the State Key Laboratory are available from https://skliotsc.um.edu.mo/.

Faculty of Science and Technology - FST

Faculty of Science and Technology aims to provide programmes for undergraduate and graduate education with quality reaching international standard. It strives to become a research active unit advancing the knowledge of engineering and science, and serves the community and industry as an agent of technological innovation and educational advancement. Currently, about 90 faculty members from diverse international backgrounds serve in this faculty. More details about the Faculty of Science and Technology are available from http://www.fst.um.edu.mo/.

Qualifications


	A PhD degree in Geography, Atmospheric Sciences, Earth System Science, Sustainable Engineering, Urban Science, Geographic Information System, Ecology, or related disciplines;
	Candidates should have considerable experience in academic development planning and research development, and be excellent in teaching, research and service with outstanding academic leadership skills for research and development;
	A distinguished record of internationally-recognized research;
	Substantial experience in securing research funding; 
	Strong communication and interpersonal skills; 
	English is the working language, while knowledge in Chinese/Portuguese will be an advantage. 


The selected candidate is expected to assume duty in August 2025. 

Remuneration

A taxable annual remuneration starting from MOP1,052,800 (approximately USD129,980) for the position of Associate Professor and MOP855,400 (approximately USD105,600) for the position of Assistant Professor will be commensurate with the successful applicants’ academic qualification and relevant professional experience. The current local maximum income tax rate is 12% but is effectively around 5% - 7% after various discretionary exemptions. Apart from competitive remuneration, UM offers a wide range of benefits, such as medical insurance, provident fund, on-campus accommodation/housing allowance and other subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/.

Application Procedure

Applicants should visit https://career.admo.um.edu.mo/ for more details, and apply ONLINE. Review of applications will commence upon receiving applications and continue until the position is filled. Applicants may consider their applications not successful if they are not invited for an interview within 3 months of application.

Human Resources Section, Office of Administration

University of Macau, Av. da Universidade, Taipa, Macau, China 

Website: https://career.admo.um.edu.mo/;
Email: vacancy@um.edu.mo
Tel: +853 8822 8577;
Fax: +853 8822 2412

The effective position and salary index are subject to the Personnel Statute of the University of Macau in force. The University of Macau reserves the right not to appoint a candidate. Applicants with less qualification and experience can be offered lower positions under special circumstances.

***Personal data provided by applicants will be kept confidential and used for recruitment purpose only***

** Under the equal condition of qualifications and experience, priority will be given to Macao permanent residents**


University of Macau

Norway, Trondheim

About the position

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. 

The PhD candidate will work on challenging research problems related to automated planning and scheduling (AI planning) for autonomous ship operations. Although autonomous ships will rely heavily on their motion control systems for accomplishing tasks such as path tracking, docking and collision avoidance, for an operation to be fully autonomous the ship must be able to tackle a wide range of additional situations that are outside the scope of low-level guidance and control, such as: When to switch from one stage of the mission to the next (from undocking to transit phase, for instance); What should happen in case of an unexpected situation, such as an unforeseen combination of faults, or sudden lack of vital information at any point during the mission. Such decisions must be made by a high-level agent that is aware of the exact mission objectives, has available the best possible update regarding the current status of the ship and the mission, and has an overview of available resources (including, time, energy, and even the possibility to pass information to a human supervisor onshore).

The mission planning system must generate action sequences (plans) that are feasible, consider all relevant constraints, and can be updated online, since the uncertainty in the marine environment will often render initial planning irrelevant at some point during the mission. From the aforementioned, it becomes obvious that mission planning will be strongly coupled with the ship’s motion control systems and sensors.

This aspect of autonomy has in the past been considered in the context of Space missions. AI planning has been instrumental in those cases, and the successful candidate will be tasked to develop similar methodologies customized to autonomous ship missions. All proposed methodologies will be tested and verified via full-scale experiments.  

The position is part of SFI AutoShip, the new 8-year research-based innovation Center in autonomous ships. The Centre focuses on autonomy, digital infrastructure, maritime transport, safety and risk analysis, maritime law, human-machine interaction, and cyber security, with partners from research, public sector and maritime industry. For more information about SFI AutoShip, see www.ntnu.edu/sfi-autoship.

The position reports to Associate Professor Anastasios Lekkas as the main scientific supervisor of the research. 

Duties of the position

The main objective of the research is to develop mission planning systems for autonomous ships based on AI planning. The purpose of the mission planning system is to generate action sequences (plans) in a reactive manner, which will then be implemented by the motion control systems of the ship (potentially other modules too, such as communication systems) in order for the ship to accomplish its mission. As part of the research activities, you will collaborate actively with some of the partners in the SFI AutoShip Center. You will be encouraged to have a research stay with one of the collaborating universities outside Norway during the research period.

Selection criteria

The PhD-position's main objective is to qualify for work in research positions. 

The qualification requirement is completion of a master’s degree or second degree (equivalent to 120 credits) with a strong academic background in cybernetics, electrical engineering, mathematics, computer science, physics, electronic systems or equivalent education with a grade of B or better in terms of NTNU’s grading scale. Applicants with no letter grades from previous studies must have an equally good academic foundation. Applicants who are unable to meet these criteria may be considered only if they can document that they are particularly suitable candidates for education leading to a PhD degree.

Required qualifications


	Academic background as listed above. 
	Excellent English skills (written and oral).
	Programming skills, using Python, C++, Matlab, and/or other languages, and frameworks such as ROS. 
	You must meet the requirements for admission to the PhD programme in Engineering Cybernetics.


Preferred selection criteria


	Knowledge and skills in AI planning, and/or guidance and control for robotic systems. 
	Experience with autonomous systems. 


The employment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, post doctor and research assistant. After the appointment you must assume that there may be changes in the area of work. 

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience, personal suitability, and motivation, as documented according to the requirements for the application.

The appointment is to be made in accordance with Regulations on terms of employment for positions such as postdoctoral fellow, Phd candidate, research assistant and specialist candidate and Regulations concerning the degrees of Philosophiae Doctor (PhD) and Philosophiae Doctor (PhD) in artistic research at the Norwegian University of Science and Technology (NTNU).

Personal characteristics

The candidate is expected to:


	Be scientifically curious and open to new research challenges
	Demonstrate independence and persistence in addressing technical problems
	Be flexible and reliable, with ability to work effectively independently and as part of a team


Emphasis will be placed on personal and interpersonal qualities.

We offer


	exciting and stimulating tasks in a strong international academic environment
	an open and inclusive work environment with dedicated colleagues
	favourable terms in the Norwegian Public Service Pension Fund
	employee benefits


Salary and conditions

As a PhD candidate (code 1017) you are normally paid from gross NOK 532 200 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

The period of employment is 3 years (or 4 years with 25% teaching duties for suitable candidates).

Appointment to a PhD position requires that you are admitted to the PhD programme in Engineering Cybernetics within three months of employment, and that you participate in an organized PhD programme during the employment period. 

The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.

The position is subject to external funding.

It is a prerequisite you can be present at and accessible to the institution on a daily basis.

About the application

The application and supporting documentation to be used as the basis for the assessment must be in English or Norwegian.

Publications and other scientific work must follow the application. Please note that your application will be considered based solely on information submitted by the application deadline. You must therefore ensure that your application clearly demonstrates how your skills and experience fulfil the criteria specified above.

The application must include: 


	CV and certificates 
	Transcripts and diplomas for bachelor's and master's degrees. If you have not completed the master's degree, you must submit a confirmation that the master's thesis has been submitted.
	A copy of the master's thesis. If you recently have submitted your master's thesis, you can attach a draft of the thesis. Documentation of a completed master's degree must be presented before taking up the position.
	A short and directed cover letter (in English or Norwegian) identifying:
	     o    Your motivation for a PhD study
	     o    Your understanding and thoughts of topics of the position
	     o    Why you are suited for the position.
	Name and contact information of minimum 2 referees. 
	If you have publications or other relevant research work 


If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both bachelor's and master's education, in addition to other higher education. Description of the documentation required can be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills, please attach this as well.

We will take joint work into account. If it is difficult to identify your efforts in the joint work, you must enclose a short description of your participation.

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates. 

NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.

General information

Working at NTNU

NTNU believes that inclusion and diversity is our strength. We want to recruit people with different competencies, educational backgrounds, life experiences and perspectives to contribute to solving our social responsibilities within education and research. We will facilitate for our employees’ needs.

NTNU is working actively to increase the number of women employed in scientific positions and has a number of resources to promote equality. 

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.

As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you want to reserve yourself from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the reservation is not accepted.

If you have any questions about the position, please contact Associate Professor Anastasios Lekkas, e-mail: anastasios.lekkas@ntnu.no . If you have any questions about the recruitment process, please contact HR Consultant Berit Dahl, e-mail: berit.dahl@ntnu.no .

If you think this looks interesting and in line with your qualifications, please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates attached. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation.  

Application deadline: 27.11.2024.



NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Engineering Cybernetics (ITK)

Engineering cybernetics is the study of automatic control and monitoring of dynamic systems. We develop the technologies of tomorrow through close cooperation with industry and academia, both in Norway and internationally. The Department contributes to the digitalization, automation and robotization of society. The Department of Engineering Cybernetics is one of seven departments in the Faculty of Information Technology and Electrical Engineering.

Deadline 27th November 2024
Employer NTNU - Norwegian University of Science and Technology
Municipality Trondheim
Scope Fulltime
Duration Project
Place of service NTNU, 7491 Trondheim


Norwegian University of Science and Technology

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

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