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Researcher in applied mathematics

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has around 44 000 students and more than 8 000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Subject description
This position is at the interface of the research areas of statistical mechanics, probability theory, potential theory, fluid dynamics, geophysics and oceanography. It deals with nonlinear partial differential equations and systems of interacting particles appearing in turbulence models. The position is part of the research project “Discrete models for turbulent flows”, financed by the Crafoord Foundation. The project focusses on the investigation of fluid dynamical models in two dimensions, with a particular focus on the effective behaviour and stability of certain models in turbulent flows. The position will be placed at the Division of Mathematics LTH and Numerical Analysis.

Work duties
The main work duty is to conduct research. Teaching may also be included, but up to no more than 20% of working hours.

Detailed description of the work duties:

Research within the subject area.
Teaching in the first, second and third cycles of studies.
Opportunity for training in higher education teaching and learning shall be given if teaching is part of the work duties.
Supervision of degree projects and doctoral students.
Administration related to the work duties listed above.

Qualification requirements
Applicants must have:

A PhD or equivalent research qualification within the subject area of the position.
A track record of publications within the subject area of the position.
Documented ability to work independently in research projects.
Very good oral and written proficiency in English.

Assessment criteria and other qualifications
The assessment of the applicants will primarily be based on their research qualifications and potential contribution to the research project. Previous research experience in geophysical fluid dynamics, especially vortex dynamics and generalized Euler dynamics, is an advantage.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand to contribute to its future development.

Terms of employment
This is a full-time, fixed-term employment of 2 years.

Instructions on how to apply
Applications shall be written in English and be compiled into a PDF-file containing:

résumé/CV, including a list of publications,
a general description of past research and future research interests,
contact information of at least two references,
copy of the doctoral degree certificate, and other certificates/grades that you wish to be considered.

Type of employment	Temporary position longer than 6 months
Contract type	Full time
Number of positions	1
Working hours	100
City	Lund
County	Skåne län
Country	Sweden
Reference number	PA2022/487
Contact	Carina Geldhauser, +46462220856
Union representative	OFR/ST:Fackförbundet ST:s kansli, 046-222 93 62 SACO:Saco-s-rådet vid Lunds universitet, 046-222 93 64 SEKO: Seko Civil, 046-222 93 66
Published	23.Feb.2022
Last application date	23.Mar.2022 11:59 PM CET

Research Engineer

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Description of the workplace

The position as research engineer is placed within the Active and Healthy Ageing Research Group. The duties also include work for researchers in the Applied Gerontology Research Group. The research groups share the same premises and are linked to the interdisciplinary Centre for Ageing and Supportive Environments (CASE) and also collaborate with researchers active in the Lund University Population Research Platform (LUPOP). CASE engages senior and early-career researchers who represent various disciplines and professions, such as epidemiology, gerontology, occupational therapy, public health, psychology and economics, at four of the University’s faculties. LUPOP is an overall infrastructure at Lund University for population investigations based on data from private individuals.

At the department, we safeguard a good work environment and a workplace that is perceived as enriching and stimulating for all staff members.

What we offer

Lund University is a public authority which means that you receive specific benefits, generous annual leave and an advantageous occupational pension. We also have a flexitime agreement that creates good conditions for an optimal work-life balance.

Read more on the University website about being an employee at Lund University.

Duties and responsibilities

You will be involved in a context that engages epidemiologists, gerontologists, occupational therapists and other health scientists, psychologists etc. in extensive national and international contexts. This may involve business travel.

You will have responsibility for the advanced processing of data in large national register databases and a number of cohort studies that are stored and analysed within LUSEC (a secure platform for data processing at the Faculty of Medicine).

Specific areas of responsibility:

Plan, administer, implement and document linking between large databases, including national register data and data from cohort studies.
Draw up data processing plans and other policy documents.
Plan, implement and document quality control and data cleaning of large databases, including national register data and data from cohort studies.
Identify and select relevant variables in different classification systems, such as ICD diagnosis codes, ATC drug codes, intervention codes and care measure codes.
Provide advice and practical support regarding data processing to researchers and other project staff.
Contribute to data processing and preparation of statistical analyses in cooperation with different constellations of researchers prior to publication of research results. Depending on the employee’s interest and motivation, independent statistical and epidemiological analyses of data may be included.
Plan, administer, implement and document extraction of data to researchers who have been granted access to research data, both internally and externally.
Contribute to relevant activities in the CASE and LUPOP research groups. The position may involve other duties.

Qualifications

The person we are looking for has an academic education at Master’s level in a subject area relevant to the position, preferably epidemiology, statistics, econometrics, computer science or other education or experience the employer deems to have corresponding value.

The requirements for the position are:

You will have very good computer skills, including experience of working in Microsoft Office.
You will have documented experience of independent work on data processing mainly in research or investigation activities, or in the form of independent advanced work in first or second cycle academic education.
Documented experience of working with statistics programs such as STATA, R, SAS or equivalent.
Documented experience of working with large volumes of data including linking of register data.
You will have a good ability to set up efficient and secure procedures for data processing and research administration.
Very good ability to communicate correctly in English, orally and in writing, is a requirement.
Meticulousness is a requirement, as is a high degree of independence and reliability.

The work involves many social contacts, which is why it is important to be very service-minded and have the ability to communicate in a sensitive and agile way. It is important that you place great importance on providing the best possible service to the staff members and partners concerned. You must have the ability to efficiently and independently prioritise various work assignments in a work situation in which the workload often varies significantly over time. Furthermore, you must be thorough, have a marked organisational ability and good collaboration skills. Great importance is placed on personal suitability.

Additional qualifications for the position are:

Experience of working with the statistics program SPSS
Good knowledge of Swedish national register data
Experience of programming, for example with SQL or other programming languages
Experience of work in interdisciplinary research activities

Further information

This is a fixed-term position, 50-75% of full-time working hours, with a starting date of 1 May 2022 or according to agreement, for a period not to extend beyond 31 December 2023.

How to apply

The position is applied for via the University’s recruitment system. The application is to include a covering letter in which you describe how you fulfil the qualification requirements as well as why you are interested in the position. The application is also to include your CV, degree certificate or equivalent as well as other documents that you wish to present (grades transcripts, information on references, letters of recommendation etc.)

The University applies individual salary setting. You are welcome to state your salary request in your application.

The Faculty of Medicine is a part of Lund University, and is responsible for education and research within medicine and healthcare. Our academic programs are closely linked with the healthcare system and are firmly anchored in the faculty’s strong research tradition. Our research spans a broad field within experimental preclinical research, near-patient clinical research and health sciences research. The Faculty of Medicine, with its 1,800 employees and 2,700 students in Lund and Malmö, is a knowledge-intensive meeting place for students, teachers and researchers from all over the world.

At the Department of Health Sciences, we work to increase knowledge about how people can recover and maintain their health. We train all categories of future healthcare and rehabilitation staff within first, second and third cycle education. Our research focuses on aspects of health: prevention, therapy, healthcare, social care and rehabilitation. Our activities in Malmö and Lund are closely linked to healthcare at Skåne University Hospital and primary and municipal healthcare.

Type of employment	Temporary position longer than 6 months
Contract type	Part-time
First day of employment	2022-05-01 eller enligt överenskommelse
Salary	Månadslön
Number of positions	1
Working hours	50-75
City	Lund
County	Skåne län
Country	Sweden
Reference number	PA2022/461
Contact	Susanne Iwarsson, professor, forskargruppschef , +46462221940
Union representative	OFR/ST:Fackförbundet ST:s kansli, 046-222 93 62 SACO:Saco-s-rådet vid Lunds universitet, 046-222 93 64 SEKO: Seko Civil, 046-222 93 66
Published	22.Feb.2022
Last application date	22.Mar.2022 11:59 PM CET

Doctoral student in Biology

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Work duties
The main duties of doctoral students are to devote themselves to their research studies which includes participating in research projects and third cycle courses. The work duties can also include teaching and other departmental duties, up to 20%.

A central question in evolutionary biology is the maintenance of genetic variation, or more technically: genetic polymorphisms. Of particular interest are those genetic polymorphisms that occur in several closely related species and in which the variation has survived several speciation events. Such transspecies polymorphisms occur among other speces in damselflies within the genus Ischnura, where many species have two or more genetic colour varieties that have coexisted several millions of years. The project aims to study and understand how these colour polymorphisms are maintained over both microevolutionary time scales of a few generations and over macroevolutionary time scales over millions of years. To answer these questions, a combination of empirical field studies, molecular genetic approaches and evolutionary theory is needed.

The project includes a combination of field studies in natural populations, experiment and genomic, bioinformatics, phylogenetic and population genetic approaches. The project entails both field work in Sweden and abroad, including collection visits to biological museums and the laboratories of other research groups. Further, the work could also entail the collection of phenotypic data from large international databases like the Global Biodiversity Infrastructure (GBIF) and Citizen Science Data from iNaturalist. Data can be collected from e. g. photographs using machine learning and deep learning techniques. Other background resources and information available for this project include data from a long-term population study of morph frequency dynamics from the field of the Common Bluetail damselfly (Ischnura elegans) in Sweden, a reference genome for this species and phenotypic, phylogenetic and bioinformatics data for other species in this genus.

The project entails field studies in Sweden and/or abroad (4-8 weeks/year) and molecular laboratory work, bioinformatics and statistical analyses of collected data. In summary: this is a project well suited for students with a background from and interest in behavioural studies, ecology, field work and experiments, molecular methods and bioinformatics and with a passion for general evolutionary theory and population genetics.

Admission requirements
A person meets the general admission requirements for third-cycle courses and study programmes if he or she:

has been awarded a second-cycle qualification, or
has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or
has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

A person meets the specific admission requirements for third cycle studies in Biology if he or she has passed an independent project (for example a degree project) of at least 30 credits in a relevant subject and have good oral and written proficiency in English.

Additional requirements

MSc in evolutionary biology, evolutionary ecology, animal ecology or related area
Excellent oral and written proficiency in English
Valid Drivers license (minimum Swedish license category B)
Excellent and demonstrated ability for proactive and independent work
Practical experience in molecular laboratory work and bioinformatics analyses
Practical experience of field work, ideally with insects and internationally from different types of environments (e. g.from both temperate and tropical field sites)

In addition to the mandatory requirements, documented experience in the following areas will be considered as strong merits: Data handling, statistics and bioinformatics, good skills and demonstrated abilities in in programming in “R” and experience of morphometric analyses (“imageJ”). Futher, it will also be considered to be advantageous if you have experience in experimental design and behavioural studies in the field and laboratory environments and good ability to gain knowledge in species identification and phenotypic classification.

Assessment criteria
Selection for third-cycle studies is based on the student’s potential to profit from such studies. The assessment of potential is made primarily on the basis of academic results from the first and second cycle. Special attention is paid to the following:

Knowledge and skills relevant to the thesis project and the subject of study.
An assessment of ability to work independently and to formulate and tackle research problems.
Written and oral communication skills
Other experience relevant to the third-cycle studies, for example professional experience.

Consideration will also be given to strong collaborative skills, personal drive and independence, and how the applicant, through his or her experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programe.

Terms of employment
Only those admitted to third cycle studies may be appointed to a doctoral studentship. Third cycle studies at LTH consist of full-time studies for 4 years. A doctoral studentship is a fixed-term employment of a maximum of 5 years (including 20% departmental duties). Doctoral studentships are regulated in the Higher Education Ordinance (1993:100), chapter 5, 1–7 §§.

Instructions on how to apply
Applications should be written in English and include a cover letter stating the reasons why you are interested in the postgraduate education programme and in what way the research project corresponds to your interests and educational background. The application must also contain a CV, degree certificate or equivalent, and other documents you wish to be considered (grade transcripts, contact information for your reference persons, possible letters of recommendation, etc.).

Type of employment	Temporary position longer than 6 months
First day of employment	2022-09-01 or according to agreement
Salary	Monthly salary
Number of positions	1
Working hours	100
City	Lund
County	Skåne län
Country	Sweden
Reference number	PA2022/200
Contact	Amra Hadzimesic, HR-administrator, +46 46 222 00 00 Erik Svensson, Professor, +46462223819, erik.svensson@biol.lu.se
Union representative	OFR/ST:Fackförbundet ST:s kansli, 046-222 93 62 SACO:Saco-s-rådet vid Lunds universitet, 046-222 93 64 SEKO: Seko Civil, 046-222 93 66
Published	01.Mar.2022
Last application date	22.Mar.2022 11:59 PM CET

Doctoral student in Electrical Engineering with focus on Machine Learning for IoT Systems

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry.

Subject description

Machine learning and artificial intelligence have attracted a lot of attention over the past few decades. Machine learning algorithms have been considered in many application domains, including Internet of Things (IoT) systems. The adoption of machine learning in IoT systems creates several new opportunities, e.g., detection of health abnormalities using wearable devices, but also involves several major challenges, e.g., complexity of machine learning algorithms for IoT systems and privacy concerns related to personal data and machine learning.

Work duties

The Doctoral student will work within the area of machine learning for IoT systems to tackle one of the main challenges in the machine learning domain. The project is cross-disciplinary between the machine learning and IoT areas, e.g., edge machine learning on IoT devices. An important part of the student's work will be to develop the theoretical foundation of machine learning and new algorithms to address the challenges within the subject area of this position. The student will also be given the opportunity to validate these solutions with experiments and simulations.

The main duties of doctoral students are to devote themselves to their research studies which includes participating in research projects and third cycle courses. The work duties will also include teaching and other departmental duties (no more than 20%).

Admission requirements

A person meets the general admission requirements for third-cycle courses and study programmes if the applicant:

has been awarded a second-cycle qualification, or
has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or
has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

A person meets the specific admission requirements for third cycle studies in Electrical Engineering if the applicant has:

at least 60 second-cycle credits in subjects of relevance to electrical engineering, or
a MSc in Engineering in biomedical engineering, computer science, electrical engineering, engineering mathematics, nanoengineering, engineering physics or information and communication engineering.

Additional requirements:

Very good oral and written proficiency in English.
Very good programming skills.
Good ability to mature with the research education and contribute to the research group.

Assessment criteria

Selection for third-cycle studies is based on the student’s potential to profit from such studies. The assessment of potential is made primarily on the basis of academic results from the first and second cycle. Special attention is paid to the following:

Knowledge and skills relevant to the thesis project and the subject of study.
An assessment of ability to work independently and to formulate and tackle research problems.
Written and oral communication skills.
Other experience relevant to the third-cycle studies, e.g. professional experience.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through the applicants experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programme.

Terms of employment

Only those admitted to third cycle studies may be appointed to a doctoral studentship. Third cycle studies at LTH consist of full-time studies for 4 years. A doctoral studentship is a fixed-term employment of a maximum of 5 years (including 20% departmental duties). Doctoral studentships are regulated in the Higher Education Ordinance (1993:100), chapter 5, 1-7 §§.

Instructions on how to apply

Applications shall be written in English and include a cover letter stating the reasons why you are interested in the position and in what way the research project corresponds to your interests and educational background. The application must also contain a CV, degree certificate or equivalent, and other documents you wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.).

Type of employment	Temporary position longer than 6 months
First day of employment	As soon as possible
Salary	Monthly salary
Number of positions	1
Working hours	100%
City	Lund
County	Skåne län
Country	Sweden
Reference number	PA2022/567
Contact	Amir Aminifar, amir.aminifar@eit.lth.se
Union representative	OFR/ST:Fackförbundet ST:s kansli, 046-222 93 62 SACO:Saco-s-rådet vid Lunds universitet, 046-222 93 64 SEKO: Seko Civil, 046-222 93 66
Published	01.Mar.2022
Last application date	21.Mar.2022 11:59 PM CET

Postdoc in infection biology and neuroscience

The Department of Biomedicine, Faculty of Health, Aarhus University invites applications for a position as Postdoc in the field of infection biology and neuroscience as per 1 August 2022 or as soon as possible thereafter. The position is a 3 year full-time position.

About the research project

Virus infections in the brain can cause acute disease (encephalitis) and prime for longterm pathologies (e.g. neurodegenerative diseases). Therefore, the brain needs to have efficient antiviral mechanisms in place to restrict virus replication. Currently, there is limited knowledge on how neurons and glial cells control virus infections without activating inflammatory activities, which can also cause pathology. To identify novel mechanisms of cell-autonomous antiviral activity in neurons, we will use genome-wide CRISPR screens and neuron cell models. Focus will be on neurotropic herpesviruses. Identified candidates will be mechanistically characterized, and experimentally tested in mice and organoid systems.

Your job responsibilities

As Postdoc in infection biology and neuroscience your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through research of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and guidance. The work related to the project will take place at Department of Biomedicine. Your main tasks will consist of: Independent research of high international quality, including publication.

Your competences

You have academic qualifications at the PhD level, preferably within one or more of the following areas virology, immunology, or neuroscience. Previous documented experience with genome-wide screens or CRISPR/Cas9 technology is an advantage. Experience with culture of neurons and/or animal models for brain diseases is also seen as an advantage. You should have solid analytical thinking, creativity, and a visible publication record. We offer a dynamic, ambitious, and productive environment for a young scientist, and a good platform for a future career in frontline research. You will report to Professor Søren Riis Paludan.

The department

We offer a vibrant international research environment where English is the preferred language in the laboratory, at meetings and at seminars. The Department employs some 450 people and covers a range of research areas within Biomedicine. We contribute to the Bachelor’s degree programs in medicine, molecular medicine, odontology and the Master’s degree programs in biomedical engineering and medical chemistry. Our infrastructure is well developed with modern laboratories, core and animal facilities. You will work in the ‘Skou Building’ located at the heart of the university campus. You can read more about the department here and about the faculty here.

Recent publications from the project group:

Reinert et al. Brain immune cells undergo cGAS/STING-dependent apoptosis during herpes simplex virus type 1 infection to limit type I IFN production. Journal of Clinical Investigation. 2021. 131(1):e136824:
Paludan, et al. Constitutive immune mechanisms: mediators of host defence and immune regulation. Nature Reviews Immunology. 2021. 21:137-150.
Katzilieris-Petras G et al. Microglia activate early anti-viral responses upon HSV-1 entry into the brain to counteract development of encephalitis-like disease in mice. Journal of Virology. 2022. Epub ahead of print.

As a person, you are ambitious, take ownership and possess good communication and interpersonal skills. We expect you to be fluent in oral and written English. In order to be assessed as qualified for a Postdoc position, you must meet these academic criteria.

Shortlisting will be used.

Questions about the position

If you have any questions about the position, please contact Professor Søren Riis Paludan tel.: (+45) 28992066; email: srp@biomed.au.dk.

We expect to conduct interviews the third weeks of May.

Terms of employment

Appointment as a postdoc requires academic qualifications at PhD level.
Further information on the appointment procedure can be found in the Ministerial Order on the Appointment of Academic Staff at Universities.
The appointment is in accordance with the Danish Confederation of Professional Associations (Akademikerne).
Remuneration is in accordance with the above, and the Salary agreement catalogue for staff at Health.
The yearly base salary for a fulltime postdoc is between DKK 465,475.74 and DKK 517.872,14 depending on the years of working experience after achieved MSc degree. The base salary includes a position related supplement and pension (17.1 %). Additional supplement(s) for special qualifications can be negotiated. Authorisation supplemement(s) will be granted, if relevant for the position. Your local eligible trade union representative at Aarhus University negotiates your salary on your behalf.
Researchers recruited from abroad are offered a special researcher tax scheme with a lower tax rate.
Further information on qualification requirements and job description can be found in the Ministerial Order on Job Structure for Academic Staff

Application

Your application must include the following:

Motivated application
Curriculum Vitae
Diploma
Template for applicant - postdoc must be completed and uploaded under ‘Extra documents’
A list of publications
A teaching portfolio. We refer to Guideline on the use of teaching portfolios
A maximum of five of the publications of greatest relevance to the job may be submitted (optional)
Strategic research plan can be uploaded (optional)
Coauthor statement(s) can be uploaded (optional)
References/recommendations can be uploaded separately in the e-recruitment system (optional)

We refer to the faculty’s Guidelines for applicants.

The assessment committee may decide to include non-submitted material in its statement. In such cases, you will be informed and obliged to submit material, unless your application is withdrawn.

Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.

Letter of reference

If you want a referee to upload a letter of reference on your behalf, please state the referee’s contact information when you submit your application. We strongly recommend that you make an agreement with the person in question before you enter the referee’s contact information, and that you ensure that the referee has enough time to write the letter of reference before the application deadline.
Unfortunately, it is not possible to ensure that letters of reference received after the application deadline will be taken into consideration.

International applicant?

Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Please find more information about entering and working in Denmark here. Aarhus University also has a Junior Researcher Development Programme. You can read more about it here.

The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.

Deadline15 Apr
Expected start1 Aug
Department of Biomedicine - Forsk. & udd., Skou-bygningenHøegh-Guldbergs Gade 108000 Aarhus C
Fixed term full-time position1 Aug 2022 - 31 Jul 2025ID: 8418
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Scholarships and Career Opportunities

Researcher in applied mathematics

Research Engineer

Doctoral student in Biology

Doctoral student in Electrical Engineering with focus on Machine Learning for IoT Systems

Subject description

Work duties

Admission requirements

Additional requirements:

Assessment criteria

Terms of employment

Instructions on how to apply

Postdoc in infection biology and neuroscience

About the research project

Your job responsibilities

Your competences

The department

Recent publications from the project group:

Questions about the position

Terms of employment

Application

Letter of reference

International applicant?

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