Soegijapranata Catholic University

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Australia

  Part - time (0.5 FTE), 12 months fixed term, with potential to extend. Located at the Sydney Brain and Mind Centre, Camperdown Exciting opportunity to work on dementia genetics as part of the Social Functioning Modelling Team  Base Salary from $109,301 (pro-rata) + 17% superannuation    About the opportunity  The School of Medical Sciences are currently seeking a Postdoctoral Research Associate to work as part of the new multidisciplinary Social Functioning Modelling team at the University of Sydney Brain and Mind Centre, led by Dr Carol Dobson-Stone and Professor Olivier Piguet. This team consists of 28 senior academics with wide-ranging expertise (e.g. basic science, clinical, neuroimaging, neuropsychology) from across the University of Sydney, who have a research interest in dementia, particularly frontotemporal dementia.  As a Postdoctoral Research Associate, you will work with Dr Carol Dobson-Stone at the Brain and Mind Centre to identify and characterise genetic contributors to frontotemporal dementia and related disorders. You will analyse whole-exome and whole-genome sequencing data from human DNA samples, perform genotype-phenotype analyses and assess the effect of disease gene variants, using molecular biological and mammalian cell culture techniques. You will be part of a lab that prioritises collaboration, openness, respect and encourages innovation. Opportunities exist to develop further research ideas through the supervision of research undergraduate and research postgraduate projects.    Your key responsibilities will be to:   process, analyse, and interpret samples/datasets from large cohorts   design, conduct, and troubleshoot experiments involving many optimisable variables   work both independently and collaboratively to meet project objectives  effectively time manage concurrent projects  publish manuscripts in peer-reviewed journals.  To learn more about the Sydney Brain and Mind Centre, click here.   About you  The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate who has:  a PhD (or near completion) in a relevant area, such as in molecular genetics or bioinformatics   experience with next-generation sequencing, downstream bioinformatic processing and statistical analysis of data  experience with cellular models, standard DNA technology, fluorescent light microscopy and immunocytochemical techniques is desirable  a strong research track-record, with a proven ability to lead studies to completion as evidenced by lead author publications with demonstrated impact   strong problem-solving skills paired with the ability to use initiative and exercise sound judgement    excellent interpersonal and communication skills with the ability to work both independently and as part of a team    experience in supervising or mentoring others and coordinating team activities is desirable.    Sponsorship / work rights for Australia  Work Rights: you must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment.  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 are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by 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.   We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion.   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, Ajaypal Singh, Recruitment Operations by email to ajaypal.singh@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 forthis role. 

The University of Sydney

Norway, Trondheim

About the job

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.

The Department of Marine Technology at the Norwegian University of Science and Technology (NTNU) has a vacancy for a PhD candidate for the EU funded project “Smart, Aware, Integrated Wind Farm Control Interacting with Digital Twins (ICONIC)”.

The ICONIC project is funded by the European Union's Horizon Europe Research and Innovation Actions, the UKRI Horizon Europe Guarantee scheme, and Innosuisse. The consortium aims to develop innovative digital and physical tools to achieve fundamental breakthroughs for the integrated control of wind farms, considering the whole physical system at farm, turbine, and component levels, in particular the complex aerodynamic interactions among turbines. The proposed integrated control solutions will be demonstrated by an extensive validation study via high-fidelity simulation models, experiments at a national-level wind tunnel, historical operational data, and real-world wind farm field tests.

The main task of this PhD project is to develop an integrated digital twin for estimating online loads and the remaining useful life of critical components of wind turbine. This PhD project is supervised by Professor Amir R. Nejad.  

Your immediate leader is Head of the Department.

Duties of the position


	Development of reduced order models
	Integration of models provided by other partners
	Development of an integrated digital twin
	Test and validation of developed system


Required selection criteria


	You must have a professionally relevant background in Mechanical Engineering, Marine Engineering, or Mechatronics
	Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level
	You must have a strong academic background from your previous studies and an average grade from the master's degree program, or equivalent education, which is equal to B or better compared with NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education.
	You must meet the requirements for admission to the faculty's doctoral program
	Good written and oral English language skills. This can be documented by an approved test. Approved tests are TOEFL, IELTS, Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE).


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 Philosodophiae Doctor (PhD) in artistic research national guidelines for appointment as PhD, post doctor and research assistant 

Preferred selection criteria


	Background in programming (Matlab, python, …), familiar with Multi-body dynamic tools and good knowledge of statistics 
	Familiar with data-driven methods, or ROM


Personal characteristics


	Strong analytical skills
	Strong communication skills 
	Team worker 
	Ability to take initiative and work independently


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. 

Appointment to a PhD position requires that you are admitted to the PhD programme in Engineering 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.

It is a prerequisite you can be present at and accessible to the institution daily.

About the application

The application and supporting documentation to be used as the basis for the assessment must be in English.

Publications and other scientific work must be attached to 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.
	Motivation letter (max one page).
	Name and contact information of three 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 Professor Amir Nejad, email Amir.Nejad@ntnu.no. If you have any questions about the recruitment process, please contact Marit Gjersvold, e-mail: marit.gjersvold@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: 11.12.2024



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 Marine Technology

We develop methods and technology related to the blue economy: oil and gas extraction at sea, ship technology and the equipment industry, fisheries and aquaculture. We also have a strong commitment to the development of sustainable solutions for offshore renewable energy, coastal infrastructure, and marine robotics. Marine technology helps to solve major global challenges related to the environment, climate, energy, food and efficient transport. The Department of Marine Technology is one of eight departments in the Faculty of Engineering.

Deadline 11th December 2024
Employer NTNU - Norwegian University of Science and Technology
Municipality Trondheim
Scope Fulltime
Duration Temporary
Place of service Jonsvannsveien 82, 7050 Trondheim


Norwegian University of Science and Technology

Finland, Helsingfors (Helsinki)

Join Us as a Software Developer at FinnGen!

Location: Helsinki, Finland
Project: FinnGen at the Institute for Molecular Medicine Finland (FIMM)

Are you passionate about software development and eager to make a meaningful impact in healthcare? Join our team at FinnGen, one of the largest genetics research projects globally, and be part of groundbreaking discoveries that can transform lives.

Why FinnGen?

At FinnGen, we are merging cutting-edge genomic data with comprehensive health records from hundreds of thousands of individuals to revolutionise human health. Our collaborative environment brings together top researchers from Finnish universities, hospitals, biobanks, and international pharmaceutical companies. Here, you’ll work alongside world-class scientists, data managers, and bioinformaticians in both Helsinki and at the prestigious Broad Institute of MIT and Harvard in Boston, MA, USA.

What We Offer:


	Innovative Projects: Work on high-impact software solutions that empower international researchers in academia and industry to analyse and visualise extensive genomic and health data.
	Dynamic Environment: Join a vibrant and inclusive team of nearly 300 professionals dedicated to improving healthcare outcomes through science and technology.
	Professional Growth: Gain invaluable experience and exposure to diverse technologies, including opportunities to visit the Broad Institute of MIT and Harvard
	Proven Team Culture: Join a highly collaborative team with an established track record of successful delivery, where knowledge sharing and mutual support drive our collective success.


Your Role:

As a Software Developer, you will play a critical role in:


	Developing Tools: Create computational tools and web UIs for efficient data browsing and visualisation.
	Building Infrastructure: Implement big data analysis solutions to support complex queries and visualisations.
	Pipeline Development: Design data-analysis pipelines for robust and reproducible processing of large datasets.
	Collaborative Reporting: Contribute to project reports and engage actively in team meetings.


What You Bring:

Must-Have Qualifications:

 


	Bachelor’s or Master’s degree in Computer Science, Software Engineering, Bioinformatics, or a related field.
	1-3 years of software engineering experience.
	Proficiency in general purpose programming languages such as Python, Java or C++
	Experience with web UI development (React, TypeScript or JavaScript).
	Strong understanding of databases (RDBMS, SQL, NoSQL) and experience with Linux, shell scripting, git, and containerization.
	Good English communication skills; fluency in Finnish is not required.


Strong Assets:


	Experience with cloud computing (preferably Google Cloud).
	Knowledge of genetics, large-scale genotyping, sequencing data, and electronic health records (EHR).
	Familiarity with statistics, machine learning, and big data technologies.
	Knowledge of R statistical programming language


Why Work With Us?

At FIMM, we pride ourselves on a friendly, flexible, and supportive work culture. Our mission is clear: to harness the power of big data for health innovation. If you’re ready to make a difference and work on projects that will positively impact healthcare and well-being, we want to hear from you!

Ready to Join Us?

Apply now to be part of a dynamic team shaping the future of genomics and healthcare!

The position offers a contract until August 31, 2027, with a 6-month trial period. Salary is based on the University of Helsinki's salary system (YPJ), considering qualifications, experience, and performance. The university provides comprehensive benefits, including occupational health care, sports facilities, and professional development. The University provides support for internationally recruited employees and their family members with their transition to work and life in Finland. For more on the University of Helsinki as an employer, please see https://www.helsinki.fi/en/about-us/careers.

To apply, submit a single PDF with:


	Motivation letter (1-2 pages)
	Detailed CV
	Two reference letters or referees’ contact details


Please submit your application via the University of Helsinki Recruitment System by clicking the 'Apply now' button. If you need support with the recruitment system, please contact recruitment@helsinki.fi. Applications are due by December 16, 2024, with reviews starting immediately.

For inquiries, contact Phenotype team leader Mary Pat Reeve (mary.reeve@helsinki.fi), Analysis team leader Mitja Kurki (mitja.kurki@helsinki.fi) and project manager Mervi Aavikko (mervi.aavikko@helsinki.fi).

More information on FIMM is available here and on the FinnGen project here.

The Institute for Molecular Medicine Finland (FIMM) is an international research unit focusing on human genomics and personalised medicine at the Helsinki Institute of Life Science (HiLIFE) of the University of Helsinki - a leading Nordic university with a strong commitment to life science research. As part of Academic Medical Center Helsinki in Meilahti campus FIMM collaborates locally with the Faculty of Medicine, Helsinki University Hospital and National Institute for Health and Welfare. FIMM is part of the Nordic EMBL Partnership for Molecular Medicine, composed of the European Molecular Biology Laboratory (EMBL) and the centres for molecular medicine in Norway, Sweden and Denmark, and the EU-LIFE Community.
 
The University of Helsinki welcomes applicants of any gender and age, linguistic or cultural background, or minority group.

Click this link to read about accessibility and inclusivity at our University.

JOIN US TO BUILD A BETTER WORLD – TOGETHER!  

 #HelsinkiUniCareers


University of Helsinki

United Arab Emirates, Abu Dhabi

Description

The Data Science and AI laboratory in the Science Division, New York University Abu Dhabi, seeks to recruit a research associate to work on human-bot cooperation.

The successful applicant will work with the lab director, Prof. Talal Rahwan, on projects that examine human-bot interactions. In this context, some of the research questions that excite us as a group include topics in: (i) ethics of AI and automation; (ii) social media analysis (iii) collaboration and team work, (iv) online controlled experiments. The candidate would focus on the area of AI ethics, using behavioral experiments, typically conducted online, and game theoretical models of such interactions. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students.

Applicants must have a PhD in Sociology, Economics, Physics, Psychology, or Computer Science. The position requires experience with at least one of the following: running behavioral experiments in the lab or online, developing the interface for such experiments or the mastery of currently existing experimental tools, as well as game-theoretic modeling on decision making. Relevant skills include statistical analysis, data management and collection, causal inference, visualizations, game theory, and online tool development. Excellent communication skills in English, ability to work in multidisciplinary teams, and scientific creativity are essential, as the research projects conducted by Professor Rahwan are inherently collaborative and involve scientists with diverse backgrounds.

The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. If you have any questions, please email: talal.rahwan@nyu.edu

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

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.


New York University Abu Dhabi Corporation

The starting salary for a PhD student is 3000 EUR/month.

Finland

The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control) at Aalto University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems. The research group is seeking a talented PhD student with strong interest in nonlinear stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control.

The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees on performance and safety, for example, through the efficient computation of Lyapunov and barrier functions, forward and backward reachable sets, optimal value functions etc. The broad goal is to build upon recent developments in learning Operator Theoretic representations of dynamical systems that focus on model interpretability, scalability to high dimensions, and data efficiency. The exact direction of the research is chosen depending on your experience and interests. Please relate clearly to some of the research topics in your Letter of Motivation.

Outstanding researchers from the areas of Control Engineering, Robotics, Machine Learning, AI, and related areas including Optimization, Mathematics and Physics are welcome to apply. The candidate is expected to conduct independent research and should have strong analytical skills as well as be fluent in spoken and written English. Successful candidates will have the opportunity to collaborate with the vibrant Aalto research community, including the Intelligent Robotics group and the Mobile Robotics group, as well as the Finnish Center for Artificial Intelligence. The group also actively collaborates internationally with top institutions in the US and Sweden.

If you are chosen for this position, you will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering. Thus, please see the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering.

WE OFFER

The position will be filled for a period of 4 years (2 + 2). The starting date is in January 2025 or as mutually agreed. The salary will be based on both the job requirements and the employee’s personal performance in accordance with the salary system of Finnish universities. The starting salary for a PhD student is 3000 EUR/month.

We offer a wide range of staff benefits, such as occupational health care, flexible working hours, excellent sports facilities on campus and several restaurants and cafés on campus with staff discounts. The position is located at the Aalto University Otaniemi campus which can be easily reached by public transport.

READY TO APPLY?

Please submit your application through our online recruitment system. To access the recruitment system, please use the “Apply now!” link below.

Applications received before December 15th, 2024 (23:59 EET (GMT+2)) will be given guaranteed consideration. Applications will continue to be processed and reviewed following this date until positions are filled, but candidates are encouraged to apply as soon as possible.

Please write your application and all the accompanying documentation in English and attach them in PDF format. Please attach only the following documents to your application:


	A letter of motivation describing your research interests and how the research fits to the Nonlinear Systems and Control group (max. 1 page)
	Curriculum vitae (include the contact details of at least two references, and if available, a list of publications)
	PDF copy of your MSc and BSc degree certificates, including transcripts of all MSc and BSc university records (grades and courses) and their English translations (Finnish and Swedish certificates are also accepted). Unofficial transcripts are acceptable for application purposes.


Please note that our recruitment system allows max 5 attachments, so please combine the copies of certificates and transcripts in one PDF, if necessary.

ADDITIONAL INFORMATION

For further information about the application or the position, please contact Assistant Professor Shankar Deka, shankar.deka@aalto.fi. Additional information in recruitment process related questions, please contact HR Partner Camilla Hanganpää, camilla.hanganpaa@aalto.fi.

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 12 000 students, 400 professors and close to 4 000 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity
twitter.com/aaltouniversity


Soegijapranata Catholic University

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