Universidad de Navarra - IESE Business School

Times Higher Education

Overview

For Students

For Professionals

Basic information and contact details for Universidad de Navarra - IESE Business School

About Universidad de Navarra - IESE Business School

Contact Universidad de Navarra - IESE Business School

Build your profile to connect with students and professionals around the world

Do you work for this institution?

Select the type of ranking below to see stats

Impact Rankings

About

Rankings

Key stats

Jobs

Subjects

Downloads

FAQs

Suggested universities

United Kingdom, Southampton

Programmer (python/C) in the Collaborative Computing Project 4 Macromolecular Crystallography.

We look for a programmer in the field of macromolecular crystallographic computing. We seek to develop, implement, and apply methodology for identification and examination of multiple structural states and conformations for this, and will employ the Bayesian decomposition we have developed. Any development is to be implemented within the programs servalcat/refmac for the CCP4 computing programming suite and released publicly.

The successful candidate will be knowledgeable in crystallographic theory and able to code. The post will be based at Southampton with regular research visits to the LMB Cambridge and to the Research Complex at Harwell for interaction with the CCP4 core team. The project has a focus on time resolved work and cooperates with the UK XFEL hub at the Diamond Light Source. This contract is initially 15 month, but may be extended.

Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD.  Prior to the qualification being awarded the title of Senior Research Assistant will be given.


University of Southampton

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


Aalto University

Australia, Adelaide

(Level B) $111,031 to $131,335 per annum, plus an employer contribution of 17% superannuation applies.

 Fixed-term position available for up to 24 months. Flexible work arrangements can be negotiated with the right candidate.

Be part of the Australian Institute for Machine Learning -- the largest computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI

Position description -

This postdoctoral research position is part of the exciting new five-year partnership between the Commonwealth Bank of Australia (CBA) and the Australian Institute for Machine Learning (AIML) at the University of Adelaide. The partnership aims to boost foundational AI research in Australia, focusing on areas such as natural language processing, computer vision, and machine learning.

This role offers the opportunity to carry out cutting-edge research at the intersection of computer vision, natural language processing, and financial technologies. The successful candidate will work directly with AIML Chief Scientist, Prof Anton van den Hengel, his research team, and CBA representatives to publish high-impact research and develop innovative AI solutions for the financial sector.

The tasks of the postdoctoral researcher (innovation) will include:


	Conduct world-class research in foundational AI, with a focus on applications in the financial sector.
	Develop innovative algorithms, machine learning models, and AI systems that address real-world challenges in banking and finance.
	Collaborate closely with CBA representatives to understand industry needs and translate research into practical solutions.
	Publish research findings in top-tier conferences and journals in AI, machine learning, and related fields.
	Contribute to the development of prototypes and proof-of-concept systems that demonstrate the potential of AI in financial services.
	Participate in regular meetings and workshops with CBA to ensure alignment between research goals and industry needs.
	Mentor junior researchers and PhD students working on related projects within the partnership.


Outputs will include:


	Research publications in high-quality journals and conferences.
	Innovative AI solutions and prototypes addressing specific challenges in the financial sector.
	Regular progress reports and presentations to both AIML and CBA stakeholders. Innovative AI solutions and prototypes addressing specific challenges in the financial sector.
	Regular progress reports and presentations to both AIML and CBA stakeholders.


To be successful you will need: 


	A completed PhD in either computer science, computer/software engineering, electrical or electronic engineering, mechanical/mechatronic engineering, or in a related discipline.
	A minimum of two years post-doctoral research experience, whether in academia or industry, including leadership experience.
	Programming experience and expertise in Python or languages such as Linux OS, C++, .NET, and Java, and one or more relevant deep learning libraries and ML platforms such as PyTorch or Tensorflow, Scikit learn, or CARET.


Desirable characteristics:


	Experience in large data sets and their platforms/tools, cloud-based architectures, and deployment frameworks for machine learning algorithms.
	A track record of publications in machine learning, computer vision, artificial intelligence and/or robotics conferences and/or journals, commensurate with experience and opportunity.


Preference will be given to Australian citizens or permanent residents, or New Zealand citizens.

Enjoy an outstanding career environment

AIML is Australia’s leading research institute in machine learning and artificial intelligence. AIML’s computer vision research is among the best in the world. With world-leading researchers, modern facilities and an innovative culture, we’re committed to delivering research that is highly valued by our local and global communities. Located at Lot Fourteen, Adelaide, AIML is the largest computer vision and machine learning group in Australia with more than 170 members including academics, research staff, and students. The institute works on a mixture of fundamental and commercially oriented research projects in computer vision and machine learning. Find out more at www.adelaide.edu.au/aiml

The Commbank Centre for Foundational AI aims to keep Australia at the forefront of foundational machine learning and AI innovation, creating a competitive edge in harnessing AI technology and fostering foundational research into new machine learning methods while exploring real-world application in finance and other industries. For CommBank, this research could unlock further improvements to fraud detection to keep customers' money and data safe, while identifying new ways to create personalised and secure banking experiences. Find out more at https://www.adelaide.edu.au/aiml/our-key-initiatives/commbank-centre-for-foundational-ai-research

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career. It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work’s cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.

Our culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff.

We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life. Flexible working arrangements are on offer for all roles at the University.

In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at: adelaide.edu.au/jobs

Your faculty’s broader role

As a member of Australia’s G08, the University of Adelaide is recognised as one of the nation’s most respected research-intensive universities, challenging and inspiring graduates to make a real difference. The Faculty of Science, Engineering and Technology (SET) holds an outstanding reputation for teaching, research, and quality graduates. Comprised of eight schools, 21 centres and five institutes, the Faculty of SET is responsible for teaching over 8,500 students across our three campuses, North Terrace, Waite and Roseworthy, and has an annual budget of $300 million. The faculty is a significant contributor to the University’s research reputation, earning annual research revenue above $120 million. Many of our research areas have achieved a world-class research rating of 5 in the 2018 ERA rankings. The faculty is responsible for teaching and research across wide range of disciplines including Engineering, Computer and Mathematical Sciences, Architecture, Biology, Physics, Chemistry and Earth Sciences, Agriculture, Food and Wine and Animal and Veterinary Science. The Faculty of SET is an innovative and agile working environment that champions excellence, diversity and inclusion in our teaching, research, and global engagement leadership.

Learn more at: set.adelaide.edu.au

If you have the talent, we’ll give you the opportunity. Together, let’s make history.

Click here to view the selection criteria and to apply for this opportunity. Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.

Applications close 11:55pm (ACDT Time), 5th of January 2025.

For further information

For a confidential discussion regarding this position, contact:

Jessica Cortazzo

Manager, Project and Strategic Partnerships

E: jessica.cortazzo@adelaide.edu.au

You’ll find a full selection criteria document below: (If no links appear, try viewing on another device or in a different web browser)

The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified.

The University of Adelaide is an Equal Employment Opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. Female applicants, people with a disability and/or and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply. If you have any support or access requirements, we encourage you to advise us at time of application.


The University of Adelaide

Australia

 Provide high-quality teaching. A teaching-intensive position. Part-time (0.5 FTE) on a tenurable basis. Base salary range: Level B, $113,934 – $134,824 p.a. (pro-rata) plus 17% superannuation.  About the area The School of Humanities offers a rich learning and research environment spanning, philosophy, history, languages, literary and cultural studies.  As well as undergraduate and postgraduate programs, the School supports an active research program. The School offers an undergraduate major in French, German, Italian, and Spanish as well as a Bachelor of Modern Languages and Master of Translation Studies. About the opportunity  Coordinate and teach undergraduate and postgraduate units in German Studies, Translation, and related fields, Actively participate in the governance and academic community of the School and University, contributing to team meetings, program development, and promoting diversity and inclusion principles.  About you   PhD in German Studies or other higher professional qualifications appropriate to their discipline. Demonstrated ability to deliver innovative teaching approaches, assessment and materials for units and courses. Demonstrated commitment to inclusive teaching practices to extend equality of opportunity for all learners. Demonstrable experience of participation in education/research leadership in public engagements that promote research and/or education outcome, government and industry. Demonstrated ability to positively contribute to team, School and wider University activities such as team and School meetings, strategic planning and program development.  Position description:     PD [Lecturer (German Studies) [518823].pdf To learn more about this opportunity, please contact Josh Brown at joshua.j.brown@uwa.edu.au   How to apply Please apply online via the Apply Now button and address the selection criteria in your submission in a separate document. For information to assist you with compiling statements to answer the selection criteria, please visit Addressing the selection criteria. You may submit a statement describing any personal circumstances relevant to your application. This can include academic/professional interruptions or achievements relative to opportunity. Closing date: 12:00PM AWST on Wednesday, 4 December 2024.  This position is only open to applicants with relevant rights to work in Australia. Benefits   Flexible working options. Generous paid leave including parental leave. Up to 17% employer paid superannuation. Salary packaging available. Incremental progression based on 12 months continuous service. Discounted UWA course fees. Discounted health insurance. Employee Assistance Program.  About the University The University of Western Australia (UWA) is ranked among the top 100 universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record, vibrant campus and working environments, supported by the freedom to innovate and inspire, there is no better time to join Western Australia’s top university. Learn more about us. Our commitment to inclusion and diversity UWA is committed to a diverse workforce and an equitable and inclusive workplace. We are committed to fostering a safe environment for all, including Aboriginal and Torres Strait Islander people, women, those from culturally and linguistically diverse backgrounds, the LGBTIQA+ community, and people living with disability. If you require any reasonable adjustments, we encourage you to advise us at the time of application. Alternatively, you can contact us for assistance during the recruitment process.  If you have queries relating to your application, please contact the individual named in the advertisement. Alternatively, please contact the Talent team at talent-hr@uwa.edu.au with details of your query. To enable a quick response, please include the 6-digit job reference number.

The University of Western Australia

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

You may want to explore jobs from other universities which are relevant to you

Featured jobs

A breakdown of student statistics at Universidad de Navarra - IESE Business School

Key Student Statistics

Select the type of rankings below to see stats

See below for a range of subjects taught at Universidad de Navarra - IESE Business School

Subjects Taught at Universidad de Navarra - IESE Business School

Universidad de Navarra - IESE Business School

About

Explore our featured universities

Company

Legal