Federal University of Agriculture, Abeokuta

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Germany, Dresden

TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer of science to society. As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and develop their individual abilities while empowering everyone to reach their full potential. TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution.

At the Faculty of Mathematics, Institute of Algebra, the Chair of Algebra and Discrete Structures offers a position as

Research Associate / PhD Student (m/f/x)

(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)

starting December 1, 2024. The position is limited to 3 years. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification (usually PhD). Balancing family and career is an important issue. The position is generally suitable for candidates seeking part-time employment. Please indicate the request in your application.

Tasks: you contribute to the ERC Synergy Grant “POCOCOP (Polynomial-time computation: opening the black boxes in constraint problems)”. This includes the systematic exploration of polynomial-time tractability in the field of constraint satisfaction and its extensions, in particular promise CSPs, valued CSPs, and CSPs over infinite domains. The work is embedded in a larger research team and involves exchange visits with the partner universities in Prague and Vienna.

Requirements:


	university degree in mathematics or computer science
	strong background in at least one of the following fields: theoretical computer science, model theory, or universal algebra
	high motivation and creativity


We offer:


	the chance to do interesting and independent work in an open-minded team and a supportive atmosphere
	extensive training and development opportunities
	flexible working hours and remote work for balancing work and private life
	financial support for the purchase of a job ticket (for public transport in Dresden and the surrounding area)


TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The University is a certified family-friendly university and offers a Dual Career Service. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.

Please submit your detailed application with the usual documents by October 2, 2024 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to manuel.bodirsky@tu-dresden.de or to: TU Dresden, Fakultät Mathematik, Institut für Algebra, Professur für Algebra und Diskrete Strukturen, Herrn Prof. Dr. Manuel Bodirsky, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.

Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis.


Technische Universitat Dresden

Australia, Armidale

People and Culture


	Executive Contract
	Full-time, 5-year fixed term with possibility of extension
	Salary packaging options are available.
	Armidale campus
	Flexible working arrangements will be considered
	Relocation assistance provided
	Applicants must have ongoing, full time work rights for the duration of the contract (UNE will not provide sponsorship for this position)


Acknowledgement of Country

The University of New England (UNE) is a regionally based, globally networked university renowned for the quality of its student experience and the excellence of its research specialisations. In addition, UNE pioneered teaching to external students making it the most experienced provider of distance and innovative online education.

UNE emphasises its people, staff and students' growth and development. We aspire to be a leader in innovation and change and a centre for the Armidale and the North-West communities.

Equity, diversity and inclusion are central to the core values of UNE and we are committed to engaging, supporting and growing a richly diverse workforce. From the Oorala Aboriginal Centre at the heart of our campus, to the inclusive organisations such as the UNE Ally Network, the UNE Women’s Society, and the many international cultural groups - all will feel valued and respected at UNE.

You will embody the UNE values and strive to be Open, Enquiring, Exceptional and Making a Difference. Additionally, you will be committed to achieving the goals embedded in the Future Fit Strategic Plan Future Fit 2021-2030: Personalised Learning Journeys, Empowering Communities, and Building Resilience.

About the role

The Senior Manager Workplace Relations works under the general direction of the Director of People and Culture and provides strategic workplace relations advice in a high-performance culture through engagement across the University. This includes establishing and maintaining Faculty and Directorate relations, managing workplace relations projects, conducting high-level negotiations, oversight of complex workplace investigations, providing advice on workplace diversity initiatives, dealing with significant industrial relations matters and advising on and managing the University’s enterprise agreement processes and committees.

About you

You will have extensive experience in industrial relations and the management of workplace relations. You will have superior interpersonal, communication, negotiation and liaison skills with the ability to build productive relationships with key stakeholders, including all levels of staff and industrial organisations.

You will embody the UNE values of Openness, Inquiry, Exceptional and making a difference. In addition, you will be committed to achieving the goals embedded in the Future Fit Strategic Plan Future Fit 2021-2030: Personalised Learning Journeys, Empowering Communities, and Building Resilience.

About People and Culture

The People and Culture Directorate is responsible for developing and implementing strategies that focus on enabling our people to create an engaging and high-performance work culture that delivers an outstanding higher education experience to our students.

The Directorate is focused on working in partnership with Faculties and Directorates to deliver strategies, quality services and projects through several primary human resource functions.

For more information about the People and Culture directorate, please visit: https://www.une.edu.au/staff-current/people-and-culture.

About Armidale

Armidale is an attractive and vibrant city that combines all the features of a bustling regional town centre with the tranquility of rural living. It boasts gourmet restaurants and cafes, boutique shopping, quality schools and sporting facilities. Surrounded by mountain gorges, waterfalls and national parks, Armidale’s natural beauty and distinct seasons make it an ideal place to live and thrive. To find out more, visit https://www.visitarmidale.com.au/experience

Enquiries and additional information

To discuss this role please contact Kirsten Clayton, Interim Director People and Culture, phone: (02) 6773 1657, email: director-pandc@une.edu.au

Closing Date: Midnight, Sunday, 6 October 2024

Reference No: 224146

Please visit www.une.edu.au/jobs-at-une for further information about this position and other career opportunities at UNE.

To Apply

Submit your application through www.une.edu.au/jobs-at-une and refer to vacancy ref 224146.

Your application should be comprised of:

Covering letter (no more than 2 pages) outlining applicable experience in line with the Key Responsibilities found in the position description; Response (no more than 2 pages) to selection criteria found in the position description; Current CV Certified qualifications cited in your application for this position.

About Our Process

At UNE, we are committed to employing individuals who meet the requirements of this role and align with our values. All applicants will be contacted and advised of an outcome. The successful candidate will be required to undertake pre-employment checks prior to commencing in this role as indicated in the position statement. Please visit our Privacy Statement to understand how your information is collected, stored, accessed and used.

National Police Check 

If you are the successful candidate for this role you will be required to provide UNE with a National Police Check prior to your commencement. Please note that people with criminal records are NOT automatically barred from applying for this position (unless there is a particular requirement under law).


University of New England

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.

This PhD is a part of the FME Battery centre, which is a large national centre gathering all research and industry partners in Norway who are focused on batteries. More information about FME battery can be found at the centres website. 

The Sustainable Energy Systems research group in the The Department of Energy and Process Engineering at the Gløshaugen campus of NTNU is searching for excellent applicants for a PhD position. For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree. The position duration is 3 years. 

The primary focus of this position is the digitalization of batteries through a comprehensive approach encompassing laboratory experimentation, sophisticated modelling techniques, and the application of data-driven methodologies.

Batteries have emerged as pivotal components in the global endeavour towards decarbonizing the energy sector, particularly evidenced by the substantial rise in demand for electrified transportation worldwide. Despite the significant strides made, there remain notable research cavities within battery technologies. The convergence of experimental and digital research represents a critical step towards the advancement of these technologies. Therefore, the digitalization of batteries promises to unlock new avenues for the application of modelling-based methodologies (including electrochemical, electrical equivalent, and physical models) and data-driven approaches to laboratory experimentation results. This innovative approach stands to expedite the development of battery technologies while facilitating the creation of digital twins, offering deeper insights into the functional parameters of these batteries.

The overarching aim of this PhD project is to conceive and cultivate digitalized battery research in close collaboration with industry. Central to this endeavour is the exploration of whether modelling and data-driven methodologies can be effectively harnessed to augment parameterisation of battery technologies. By leveraging laboratory-acquired data, we seek to refine our experimental research focus, emphasizing computationally optimized theories and hypotheses. The creation of a digital twin for batteries holds the promise of expediting the process of theory and hypothesis testing, thereby minimizing the duration spent on less fruitful avenues of inquiry. Moreover, the integration of data-driven methodologies into the digital twin framework affords opportunities for refining theories and hypotheses, with a particular emphasis on enhancing key parameters such as charging and discharging kinetics.

The candidate for this educational research position must possess the requisite skills to conduct comprehensive battery analysis in the laboratory setting, including but not limited to battery cycling, parameter measurement, and diagnostic interrogation. Additionally, proficiency in applying data driven techniques to ascertain unknown battery parameters (such as state of health, aging, and internal thermal properties) is paramount. 

You will report to Associate Professor Jacob Lamb to whom further inquiries may be directed.

NB: The application must include a brief description (~300 words) of possible implementation and data-driven strategies that pertain to the topic mentioned above (i.e. Project Proposal/Research Plan).

Duties of the position


	The candidate will plan and execute a comprehensive, independent research project under supervision. This will involve computational experiments, data analysis and integration.
	The candidate will learn to master academic writing and be lead author of several journal publications.
	The candidate is expected to present their work at international conferences and workshops.
	The candidate is expected to collaborate internationally, which may involve extended periods outside of Norway.
	The candidate is expected to contribute to the supervision of Masters students and other student projects.


Required selection criteria


	You must have a professionally relevant background with a master’s degree (or similar level) involving computational science (machine learning and modelling).
	Relevant experience with independent work is necessary.
	Proficiency with data analysis and collection software is required (i.e., Python, Matlab, LabVIEW, etc.). 
	Good understanding and experience with experimental electrochemistry.
	Experience with applying data driven approaches to batteries.
	Excellent written and oral English language and communication skills.
	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.
	Master's students can apply, but the master's degree must be obtained and documented by the start date of the position.
	You must meet the requirements for admission to the faculty's doctoral program.
	 


The appointment is to be made in accordance with 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


	This work involves a wide-range of technical competencies and skills. A strong academic background and a demonstrated capacity to learn new topics will be considered more relevant than industrial experience.
	Previous specialization and research within the area of batteries and data-driven sciences.
	Demonstrated capacity for multi-tasking and collaborative research.
	Applicants whose backgrounds may be subject to critical Export Control restrictions and regulations may be automatically disqualified.
	Candidates who can speak a Scandinavian language are preferred, but not essential.


Personal characteristics


	Enthusiastic and highly motivated
	Able to work effectively on their own and in a team
	Diligent, thorough, and hard-working
	Able to work structured and goal oriented with a drive to get projects finished
	Creative, good at finding solutions
	The applicant is expected to contribute to the social and environment and activities of the Sustainable Energy Systems group above and beyond the position itself. 


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 Sustainable Energy 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 

The position is subject to external funding by the Norwegian Research Council.

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.

In order for us to evaluate your application, it must include the following:  


	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.
	Project proposal 
	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 Jacob Lamb on e-mail: jacob.lamb@ntnu.no. If you have any questions about the recruitment process, please contact HR-consultant Renate Fjellheim on e-mail: renate.fjellheim@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: 27th of October 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 Energy and Process Engineering

We conduct research and teaching covering the entire energy chain, from resources to the end-user. We look at how energy is produced and used by humans and machines in a sustainable way with regard to health, climate change and the resource base. The Department of Energy and Process Engineering is one of eight departments in the Faculty of Engineering.

Questions about the position

Jacob Joseph Lamb
Professor
Jacob.j.lamb@ntnu.no

Renate Fjellheim
HR-consultant
renate.fjellheim@ntnu.no

Deadline 20th October 2024
Employer NTNU - Norwegian University of Science and Technology
Municipality Trondheim
Scope Fulltime
Duration Temporary
Place of service Høgskoleringen 1, 7491 Trondheim


Norwegian University of Science and Technology

United Kingdom, Birmingham

Department: School of Computing and Digital Technology

Location: City Centre Campus (STEAM House)
Salary: £51,703 to £56,197 per annum
Permanent, Full Time
Closing Date: 23.59 hours BST on Sunday 06 October 2024
Reference: CEBE24014

Birmingham City University invites applications for Senior Lecturer in Cyber Security to support and advance its growth in the cyber security discipline.

As a Senior Lecturer, you will be expected to contribute to the subject leadership at module and course levels, managing module and course teams to deliver student outcomes. Further, you will contribute to design and development of curriculum in-line with market trends and cutting-edge within the subject.

You will be expected to support teaching and learning for undergraduate/postgraduate modules, provide pastoral care to students, engage in cutting-edge research, and contribute to recruitment and outreach activities. You will develop and deliver engaging teaching and learning as a member of the cybersecurity team in a variety of settings from small group tutorials to large lectures. You will also set and mark assessments providing timely and constructive feedback to students.

Conscious of inclusive practices, you will be expected to provide pastoral support to students assisting with their journey at BCU and equipping them with skills to meet the demands of the cyber security industry.

Further, you will explore and innovate ways of improving performance by reflecting on teaching design and delivery and obtaining and analysing feedback. You will be expected to engage in cutting-edge research and enterprise activities through own-initiative and collaboration with peers in academia and industry, leading to external funding and publications in reputable venues.

You will possess core cybersecurity skillset with strong experience of teaching at university level within different topics of cybersecurity. You will also have a proven track record of publishing research articles at reputable venues and an ability to develop research proposals to seek external funding. You will be passionate about supporting students through their educational journey and keen to learn and adopt inclusive practices to engage with students from diverse abilities and backgrounds.

With core cyber security skills and knowledge, candidates with expertise in Cyber Physical Systems, Digital Forensics, Machine Learning and AI, and Future Networks are particularly encouraged to apply. Membership of a professional bodies (such as the BCS, the IET, ISACA or ISC2), industry-recognised certifications, and professional registration (such as CITP or CEng) is also beneficial.


Birmingham City University

Hong Kong

Work type: Full-time
Department: Department of Pathology, School of Clinical Medicine (21200)
Categories: Senior Research Staff & Post-doctoral Fellow

Applications are invited for appointment as Post-doctoral Fellow in the Department of Pathology, School of Clinical Medicine (several posts) (Ref.: 529998), to commence as soon as possible for one to two years, with the possibility of renewal subject to satisfactory performance.

Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, Intelligent Systems, related disciplines or equivalent. They should be self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development is essential and experiences in histology medical imaging analysis is highly desirable.

The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model for diagnosis and prognosis of different sarcomas. He/she will develop and train deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research of integration of multimodality data with clinical, radiological images and genomics data.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V.  Review of applications will start on (2 weeks from posting) and continue until December 31, 2024, or until the post is filled, whichever is earlier.


The University of Hong Kong

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Federal University of Agriculture, Abeokuta

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