PhD position, Microbial ecology - 2019

JOB DESCRIPTION

The Faculty of Science is seeking to fill a full-time (100%) vacancy in the Department of Biology for a

Doctoral student in the area of microbial ecology

Job denoscription

Microbial ecosystem functioning at oxic-anoxic interfaces in wetlands

Wetland (freshwater marshes, saltmarshes, mangroves) are highly biodiverse ecosystems, which are inundated by water, either permanently or seasonally, and where oxygen-free processes prevail. Wetlands represent a globally significant pool of soil carbon that has been accumulating for millennia, and are an important sink for carbon dioxide (“blue carbon”). Some of the organic material that is deposited in wetlands is degraded by the ambient microbial community, while some is sequestered. Efficient decomposition is hampered by the lack of oxygen, and micro-organisms living at the oxic-anoxic interface in wetlands have evolved a variety of strategies to overcome this obstacle and effectively decompose organic matter. Recently, new mechanisms have been discovered how microbes can overcome the problem of staying in contact with oxygen while “mining” for electron donors and other resources in anoxic environments. Examples are long filamentous bacteria that are capable of long-distance electron transport as well as fungi that can act as O2 transporting vessels. These mechanisms may be important near the inundation layer as well as at the oxic-anoxic interface around plant roots. Within this project the evolutionary and ecological background of microbial strategies to overcome O2 limitation in wetlands will be studied in detail. The PhD student will explore which evolutionary strategies are used and how they may affect the geochemical cycling of carbon and other elements in peatlands.

Apply here

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Industrial PhD Position: Disruption Solver for Airline Operation Control

JOB DESCRIPTION

Ph.D. Project to be done at KTH and Aviolinx in collaboration with Navblue – an AIRBUS company

KTH Royal Institute of Technology is represented by the division of optimization and systems theory at the department of Mathematics.

AVIOLINX provides software and services to the airline industry. Our focus is on developing innovative products and services designed specifically for the airline industry to optimize processes, reduce cost and increase revenue. Our flag ship product, N-RAIDO, is an Airline Management System that puts our customers in complete operational control of all strategic, financial and operations business processes throughout all stages of the airline operations including: Commercial planning, Flight operations, Crewing and post production analysis. AVIOLINX has a partnership with NAVBLUE. NAVBLUE, an Airbus Company, is a leading global provider of flight operations solutions which directly support millions of flights each year and help NAVBLUE’s airline customers maximize efficiency, reduce costs, ensure compliance with complex national and international safety regulations, and effectively deliver their services.

More info

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PhD Position - Design and synthesis of trifunctional peptidomimetic scaffolds for DNA-Encoded Chemical Libraries (DECLs) in the oncology area

JOB DESCRIPTION

One PhD position (36 months) is available at the Department of Chemistry of the University of Milan (Università degli Studi di Milano) in the frame of the Marie Skłodowska-Curie Innovative Training Network (ITN-ETN) “Small-Molecule Drug Conjugates for Targeted Delivery in Tumor Therapy” (Magicbullet::Reloaded) funded by the European Commission (Grant agreement no: 861316).

The researcher, who will take part in the above project, will be enrolled by the University of Milan in the PhD Course of Chemistry, granting a PhD degree at the end of three years.

Goals of the network project

The Marie-Skłodowska-Curie European Training Network Magicbullet::Reloaded will develop and employ approaches for selective, targeted delivery of a panel of anticancer drugs for directed tumor therapy. The activities of the consortium will be devoted to four different project areas:

Small molecule-drug conjugates (SMDCs) and peptide-drug conjugates (PDCs)
Multivalency and crosstalk with the immune system
Pharmacokinetics: Transport, drug release, and metabolism
Biological evaluation of the conjugates


More info

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PhD Position - Design and synthesis of trifunctional peptidomimetic scaffolds for DNA-Encoded Chemical Libraries (DECLs) in the oncology area

JOB DESCRIPTION

One PhD position (36 months) is available at the Department of Chemistry of the University of Milan (Università degli Studi di Milano) in the frame of the Marie Skłodowska-Curie Innovative Training Network (ITN-ETN) “Small-Molecule Drug Conjugates for Targeted Delivery in Tumor Therapy” (Magicbullet::Reloaded) funded by the European Commission (Grant agreement no: 861316).

The researcher, who will take part in the above project, will be enrolled by the University of Milan in the PhD Course of Chemistry, granting a PhD degree at the end of three years.

More info

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PhD Research Fellow In Political Science

JOB DESCRIPTION

About the position
1 100% position (possibly 2) is available at the University of Agder, Faculty of Social Sciences as PhD Research Fellow in Political Science, affiliated to the Department of Political Science and Management for a period of three years or four years with 25% required work duties. The position is located at Campus Kristiansand. The starting date is negotiable with the Faculty.

The position is at the Department of Political Science and Management, Faculty of Social Sciences in Kristiansand. More information about the department and its research groups.

Responsibilities
The PhD will focus on public administration/public policy. The position is funded by the university and will be part with one of the department’s two research groups: Governance and Leadership in the Public Sector and European Integration and Transnational Governance. The theme of the PhD Research fellow's project must fall into the areas of one of these research groups. More information about the PhD program.

More info

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PhD Environmental Sciences | Evaluating coastal landscape management

Key responsibilities
The new interdisciplinary Coastal landSCAPE (C-SCAPE) project aims to explore sustainable long-term sand nourishment strategies. Inspired by recent large-scale sand nourishments like the Sand Motor and Hondsbossche Dunes, the project examines how such strategies affect morphology and ecology, and how they translate to societal acceptance. The specific responsibilities for the PhD candidate include:

Development of an integrative evaluation framework for different forms of coastal engineering, based on ecosystem services;
Review and evaluate indicators of ecosystem services of coastal engineering;
Quantitative analysis and modelling of morphological, ecological and socio-economic data related to sandy coasts and ecosystem services;
Stakeholder analysis on the social value of coastal ecosystem services;
Scenario analysis of different sand nourishment designs over time and space, based on ecosystem service;

More info

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PhD in Risk Analysis of Software Requirements Specification

JOB DESCRIPTION

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from PhD candidates in the general area of Software Engineering. SnT is carrying out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners.

The Centre is rapidly expanding its research activities and is seeking highly motivated PhD candidates who wish to pursue research in close cooperation with our partners. For further information, you may check: https://wwwen.uni.lu/snt/research/serval

PhD in Risk Analysis of Software Requirements Specification (m/f)

Ref: 50015333
Initial contract of 14 months, renewable for up to 36 months, with a further possible 1-year extension if required
Full time (40 hours / week)
Employee and student status

More info

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دوستانی که علاقه‌مند هستند در زمینه‌ی هوش مصنوعی مهارتی کسب کنند و از اخبار و منابع اطلاع پیدا کنند، کانال تازه تاسیس زیر می‌تواند چراغ راه خوبی برای آنها باشد.

@DeepGravity

Hello everyone,


There is an open PhD position at the University of Bath in the Department for Architecture and Civil Engineering with Dr. Paul Shepherd. The PhD is funded by and within the framework of the ACORN project on Automating Concrete Construction in the Universities of Bath and Cambridge (http://automated.construction/).


Part of the PhD would involve developing a Digital Twin model for the built demonstrator of the project using a holistic approach from digital to physical. Nevertheless, the topic is relatively open.

More details here: https://www.findaphd.com/phds/project/automating-concrete-construction/?p115275.


Best,

Robin

✔️ @ApplyTime

PhD Position in Deep Learning for Robotics at Istanbul Technical University (Turkey), in collaboration with Halmstad University (Sweden)

Artificial Intelligence and Robotics (AIR) Laboratory at Istanbul Technical University (ITU) announces the availability of a Ph.D. position in Deep Learning for Robotics.



The selected Ph.D. student will carry out research on developing novel neural networks to fuse various sensory data streams, derive semantics and generate policies to predict and prevent failures in the context of robot imitation learning of human manipulation actions. The research will be performed within the PARTNER (Predicting and Preventing Unsafe Situations for Service Robots) project funded by the Scientific and Technological Research Council of Turkey (TUBITAK). The project is in close collaboration with Halmstad University (HH) and aims to design and develop an effective system for service robots to predict and prevent unsafe states.



The student will be employed by the AIR Lab at ITU. There is a certain possibility that the student will receive a Ph.D. degree from both universities (i.e. a double degree). The selected Ph.D. student will be placed at the AIR Lab where Assoc. Prof. Sanem Sariel will be the main supervisor and guide the daily work. The PHD work will be in close collaboration with Asst. Prof. Eren Erdal Aksoy as academic supervisor at HH. It is foreseen that shorter periods of time will be spent at HH to perform various robotics experiments.



The selected Ph.D. student will be responsible for conducting research within the PARTNER project and for participating in the required Ph.D. course activities. The employment also includes teaching responsibilities corresponding to a maximum of 20% of full-time. Applicant will be part of an international workgroup and an English-speaking environment.

This is a full-time position available from January 2020 for a period of three years with a possibility of a further extension, subject to satisfactory progress of the Ph.D. study and funding availability. Enough resources to fund experiments and conference travels are available.

Requirements

The ideal candidate has a Master’s degree in robotics, computer science, machine learning, mathematics, physics, or a related engineering discipline. A strong background in robotics, computer vision, machine learning, or software engineering is desirable. Excellent programming skills, analytical problem solving and organizational abilities are required. Prior practical experience in ROS and deep learning is a plus.

Application

A full application consists of:

1. a detailed CV

2. a motivation letter / research statement

3. two reference letters

4. copies/links to publications and software samples, if any

5. degree certificates and grade trannoscripts (master and bachelor)

List of qualifications and other documents that the applicant wishes to refer to should be enclosed with the application. All copies must be attested.

Applications should be sent to: sariel@itu.edu.tr and eren.aksoy@hh.se

Closing date
The application deadline is 06 December 2019.

For more information about the position, please contact Associate Prof. Sanem Sariel (sariel@itu.edu.tr) and/or Assistant Prof. Eren Erdal Aksoy (eren.aksoy@hh.se)

Kind regards,
Eren Aksoy

---
Eren Erdal Aksoy
Assistant Professor

✔️ @ApplyTime

Positions in Machine Learning and Game Playing

The Johannes Kepler University Linz (JKU), Austria, is looking for
doctoral and post-doctoral researchers in machine learning or
knowledge discovery in databases for the newly formed Computational
Data Analytics group of Prof. Johannes Fürnkranz. We are particularly looking for researchers in one or
more of the following areas

• Interpretability in AI
• Inductive Rule Learning
• Preference Learning and Reinforcement Learning
• Multi-Label Classification
• Data Mining and Knowledge Discovery
• Monte-Carlo Tree Search
• Machine Learning and Game Playing

Job denoscription:
• Conduct independent research and collaborate in
machine learning projects
• Publish in renowned international journals and conferences
• Supervise students and support lectures of the group

Requirements:
1. Master’s Degree or Ph.D. in Computer Science or a related area
2. Strong background and track record in machine learning or
knowledge discovery
3. Knowledge and prior work in one or more of the above-mentioned
areas is a plus
4. Willingness and ability to work in a team and to support
students and lectures

About the group:
The Computational Data Analytics group at JKU Linz has started in October 2019, within the Institute for Application-Oriented
Knowledge Processing (FAW) [1]. Together with the existing groups of
Prof. Sepp Hochreiter (Machine Learning) or Prof. Gerhard Widmer
(Computational Perception), the Computer Science Department of JKU
Linz [2] has become a leading center for machine learning and
artificial intelligence research in Austria and beyond. In Winter Term
2019, JKU has started the first Bachelor’s [3] and Master’s [4] study programs in Artificial Intelligence in Austria.

About the location:
The area offers excellent quality of living in the heart of Europe -
close to the alps between Vienna, Salzburg, Prague and Munich. Linz
provides a superb cultural environment, e.g. with the Ars Electronica
Festival and the nearby Salzburg Festival. Moreover, the
world-cultural heritage sites Hallstatt and Český Krumlov are less
than two hours away. The picturesque and versatile landscape provides
countless options for recreation and sports in nature (skiing, hiking,
climbing, cycling, and many more).

How to apply:
Prospective applicants interested in these positions are requested to
electronically send an application via the online portal
http://jku.at/application.
Please specify Job Reference Number 3989 (for Ph.D. student) or 3990
(for Post-Doc) in your application.

Please provide us with
- a CV
- a research statement concerning one or more of the above-mentioned areas, and
- a sample of your writing in English or German (thesis, publication, …)

The positions are open until filled, next decisions will be made on
November 23th, 2019. If you have questions, please contact Prof.
Johannes Fürnkranz (johannes.fuernkranz@jku.at).


References:
[1] https://www.jku.at/en/institute-for-application-oriented-knowledge-processing/
[2] http://informatik.jku.at/
[3] https://www.jku.at/en/degree-programs/types-of-degree-programs/bachelors-and-diploma-degree-programs/ba-artificial-intelligence/
[4] https://www.jku.at/en/degree-programs/types-of-degree-programs/masters-degree-programs/ma-artificial-intelligence/

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Post-Doctoral Researcher in Cross-National Demography of Family Structure and Health - OPEN UNTIL FILLED

The Population Research Institute in the Social Science Research Institute at Penn State (University Park) seeks a qualified candidate to collaborate with Dr. Ashton Verdery, Dr. Rachel Margolis (University of Western Ontario), and other colleagues on a National Institute of Aging funded research grant. This position will be devoted to research related to patterns of family structure and population health in aging populations around the world. This position requires a Ph.D. or equivalent degree by the position start-date. The successful candidate will be encouraged to develop their own research program in addition to collaborating with the research team. A background in demography, sociology, economics, health sciences, gerontology, or statistics is preferred. We are especially interested in candidates who are strong writers and have expertise in survey methodology and data analysis, with proficiency in R and/or Stata. Experience working with a research team and knowledge of advanced demographic techniques is desired. We seek a candidate who is self-motivated, detail-oriented, responsible, team-oriented, and creative, with excellent interpersonal, written communication, and organizational skills. Please submit a brief cover letter describing relevant experience, a current curriculum vitae, and contact information (name, current position noscript, mailing address, telephone number, and e-mail address) for three professional references electronically. This is a one year fixed-term appointment with high likelihood of an additional year of funding. The position start date is flexible but is expected to begin between March 1, 2020 and September 1, 2020. Applicants who wish to work remotely will be considered. Review of applications begins on January 10, 2020 and will continue until the position is filled. Salary will be competitive and commensurate with experience; travel and research support is budgeted for the Postdoctoral Scholar to attend annual conferences, training workshops, and obtain necessary materials and software.

More information here.

✔️ @ApplyTime

PhD Position Biochemistry (Optogenetics)

We are currently seeking a talented PhD student to join our team at the Department of Biochemistry of the University of Bayreuth. We investigate sensory photoreceptors which enable the control by light of behaviour and physiology in Nature and optogenetics. We use an assortment of biochemical/biophysical techniques spanning molecular biology, protein biochemistry, optical spectroscopy, electrochemistry, protein engineering, high-throughput screening, synthetic biology and X-ray crystallography.
Activities and responsibilities
The present project, funded by the Deutsche Forschungsgemeinschaft, focuses on the newly discovered light-oxygen-voltage (LOV) receptor PAL that binds short RNAs under blue light. We seek a molecular understanding of signal transduction in this and related LOV receptors. Empowered by such knowledge, we engineer photoreceptors and develop novel applications in optoribogenetics, a hitherto inaccessible branch of optogenetics.
More information is available on request and in our recent publications, cf. e.g., Nat Commun 2015 (26648256), ACS Synth Biol 2016 (27002379), Nucleic Acid Res 2016 (27744350), Structure 2017 (28502782), Nat Commun 2017 (28819239), Chem Rev 2018 (29984995), Nat Chem Biol 2019 (31451761).
Qualification profile
The ideal candidate holds an M.Sc. degree in Biochemistry, Biology, Biophysics, Chemistry or a related discipline. Enthusiasm for experimental research, self-reliance, ability to work in a team and good English skills are expected. Pertinent training and experience in one or several of the following subjects are of advantage: molecular biology, protein biochemistry, protein crystallography, biomolecular spectroscopy and cell culture.
We offer
The Department of Biochemistry at the University of Bayreuth provides top-notch instrumentation for biochemistry, electrochemistry, protein crystallography, optical spectroscopy, mass spectrometry and flow cytometry. By offering excellent training and research infrastructure, the institute and the university create a highly interdisciplinary and stimulating environment for biochemical projects. The candidate can enrol in a structured PhD program within the University of Bayreuth graduate school BayNAT. The position is available immediately for initially three years, and salary is according to the TV-L scale.
Send application to
Applications from handicapped persons will be favored when all other qualifications are equal. The University of Bayreuth is an equal opportunity employer and we therefore especially encourage women to apply. Applications should be sent as a single PDF to the below email address and comprise cover letter, CV and contact information for two referees willing to provide reference letters.
Prof. Dr. Andreas Möglich
email andreas.moeglich@uni-bayreuth.de
http://www.moeglich.uni-bayreuth.de/

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Post-doc position on EyeDesign (Eye-Gaze Tracking For Collaborative Design)

Post/s of Full-Time/Part-Time Research Support Officer III or IV (post-doc)
Workplace: University of Malta, Malta

EyeDesign - Calibration-Free Multi-User Eye-Gaze Tracking For Collaborative Design
And Any Other Projects Undertaken by the Department of Systems and Control Engineering.

Applications are invited for a Research Support Officer to work on a full-time/part-time basis on “Calibration-Free Multi-User Eye-Gaze Tracking For Collaborative Design” (EyeDesign), a project financed by the University of Malta through the Transdisciplinary Research and Knowledge Exchange Complex (TRAKE). The selected applicant will develop algorithms for multi-user, calibration-free eye-gaze tracking for the purpose of collaborative design. The work will be carried out in collaboration with international academic partners with expertise in collaborative design from Koç University in Istanbul, Turkey and the University of Applied Sciences for Engineering and Economics in Berlin, Germany.

Applicants applying for the post must be in possession of a PhD/DPhil degree focusing in the fields of image processing and computer vision. Experience in one or more of the following areas will be considered favourably: vision-based motion tracking, sketch-based interfacing, 3D reconstruction, 3D modelling, rendering and visualisation.

The University of Malta is an Equal Opportunity employer.

The post is for a period of 30 months and carries the following initial annual remuneration, depending on the experience of the candidate:
Research Support Officer III - €31,200 or €15 per hour
Research Support Officer IV - €41,600 or €20 per hour

Candidates must submit their letter of application, a copy of their curriculum vitae and a copy of their certificates by e-mail to projects.hrmd@um.edu.mt and should be received by not later than 27th November 2019.

Late applications will not be considered.

Further information may be obtained by sending an email to stefania.cristina@um.edu.mt.

Refer to our pages: https://www.um.edu.mt and https://www.um.edu.mt/__data/assets/pdf_file/0004/414877/TRAKEProjectRSOs-EyeDesign-11.19.pdf

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Computational Neuroscience Research Scientist Faculty Position in Toronto - Krembil Research Institute

Hello all,



Please consider applying for the following position.



Position: Computational Neuroscience Research Scientist

Site: Krembil Research Institute/Toronto Western Hospital
Department: Research
Reports to: Institute Director
Status: Permanent Full-time



https://www.recruitingsite.com/csbsites/uhncareers/JobDenoscription.asp?SiteID=10031&JobNumber=851664



The ideal candidate will have a PhD in a relevant field, research expertise and experience in mathematical and computational modeling, and research interests that complement those of the Institute in neurobiology and neurodegeneration. Candidates whose research interests encompasses cellular, micro/macro circuits and/or large scale brain models, and who have collaborative experimental experience are especially encouraged. The successful candidate will have the ability to establish an independent, well-funded program and will be eligible for appointment at the appropriate level within the University of Toronto.



Qualified applicants are invited to submit their online application (letter of interest, research plan, curriculum vitae), in PDF format as well as complete some initial screening questions.



The search committee will begin to review applications in January with a potential start date in Spring/Summer 2020.



Feel free to contact Frances Skinner if you have any questions.



✔️ @ApplyTime

5 year PhD Interdisciplinary Neuroscience PhD Program, Tuebingen

The Max Planck Institute for Biological Cybernetics and the University of Tübingen invite students from all over the world to apply for their interdisciplinary 5-year PhD program leading to a PhD in Neuroscience. Full funding will be available for top-ranked applicants.

We are seeking talented, curious and open-minded young scientists with strong backgrounds in neuroscience, biomedical sciences, computational science, applied mathematics, statistics, artificial intelligence, or engineering. Successful candidates will possess a burning ambition to shape the future of neuroscience and the ability to thrive in a fast-paced, interdisciplinary, environment.

The application deadline is December 15, 2019. Please visit:

https://www.kyb.tuebingen.mpg.de/phd-program

for more details and information about applying.

The PhD program is a collaboration between the Max Planck Institute for Biological Cybernetics and the University of Tübingen. It is closely affiliated with the renowned Graduate Training Centre of Neuroscience, the centerpiece of neuroscience training in Tübingen. Students (who should have been awarded a Bachelor's degree by September 2020) will receive a broad interdisciplinary training in neuroscience, including expert teaching by international renowned scientists and individual and intensive mentoring.

Potential research topics cover a variety of fields in systems neuroscience, cognitive and behavioral neuroscience, computational neuroscience, translational and clinical neuroscience as well as cellular and molecular neuroscience.

Teaching and research are conducted in English.

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Postdoc position in mouse electrophysiology at Ernst Strungmann Institute (Frankfurt, Germany)

Hi all, we are hiring!

We are looking for an enthusiastic postdoctoral researcher to lead the mouse work of the Zero-Noise Lab at the Ernst Strüngmann Institute for Neuroscience in Frankfurt, Germany.



The position

The Zero-Noise Lab investigates how neuronal population activity unfolds in real time during naturalistic behaviour, and how this compares between mouse and monkey. To this end, we conduct chronic electrophysiological recordings in the visual cortex of macaques and mice, while they are engaged in the same, naturalistic foraging task in a virtual environment. The lab is jointly headed by Marieke Schölvinck and Martha Nari Havenith, and funded by the Max Planck Society. In the lab, postdocs and PhD students focus on experiments in either mouse or monkey, but intensely work together to ensure that we constantly align and mutually learn from experiments across species.

We are now looking for a postdoc to lead the mouse side of the lab, while developing their own ideas and research interests. Ideally, we would like you to start in Spring 2020. The appointment is for three years initially, with the possibility of extension by another two years; the salary is in accordance with the regulations for academic personnel.



You

If you (are about to) hold a Ph.D., have experience with electrophysiological recordings in awake animals, and are eager to work in an interdisciplinary lab with multiple model species, we would love to hear from you! Additional skills that would be extremely valuable:

- Programming skills (Matlab and/or Python)

- Technical skills to build up an electrophysiology set-up

- Experience with behavioural training



How to apply

If you are interested and/or looking for more information about the job, please send an email to Marieke (marieke.scholvinck@esi-frankfurt.de) and Martha (marthanari.havenith@gmail.com) before December 15, 2019. In your email, please explain your background, what you expect from your postdoc, and why you want to join us in Frankfurt (including non-scientific reasons, if any – we like to get to know the human beings we work with!). The application remains open until the position is filled.



We look forward to hearing from you!
Martha and Marieke

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Fully funded Ph.D. position on "5D Light Field Video Analysis"

e are seeking researchers for the analysis and processing of so called 5D Light Field Video.
With the 5th domain we denote flexibly controlling the exposure times of cameras within a light field rig.
Such control enables sub-framing and hence the exchange of temporal with spatial resolution. Only few
tools are available to handle such sub-framed light field videos.

Ph.D. positions are on optimizing the sub-frame structure by scene analysis and on spatio/angular/temporal
light field interpolation. We use classical as well as deep learning-based methods and have built an own
camera rig with 64 FullHD cameras and very flexible shutter control.

Positions come with a full-time employment at Saarland University for a duration of up to three years
(dependent on the starting date and the qualification of the applicants). Salary follows the German
University employment rules (TV-L13, ~45.000€ p.a. gross salary, exact amounts dependent on the
personal status of the applicant).

Interested researchers are invited to send a mail to Thorsten Herfet and discuss in a more detailed
fashion.

Thorsten Herfet


Prof. Dr.-Ing. Thorsten Herfet
Telecommunications Lab
Email: herfet@cs.uni-saarland.de

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2 PhD/Postdoc positions in theory of neuromorphic computing, Groningen, NL
H. Jaeger h.jaeger@rug.nl via googlegroups.com
In the group of Herbert Jaeger two fully funded positions are open for PhD students (4 year contract) or Postdocs (3 year contract). Both positions are about formal, theoretical analyses and algorithmic models of „neuromorphic“ computing in non-digital hardware (analog, unclocked, spiking microchips or even unconventional material substrates exhibiting relevant nonlinear dyanmical phenomena).

Herbert Jaeger’s group is embedded in the Groningen Cognitive Systems and Materials Center (CogniGron, https://www.rug.nl/research/fse/cognitive-systems-and-materials/?lang=en). CogniGron, founded in 2018, is an interdisciplinary initiative at the intersection of computer science, AI, machine learning, computational neuroscience and material science. With 10 new professorships and 30 PhD stipends, CogniGron stands out as one of the most visible scientific investments in the Netherlands in recent times.

The *first position* is defined within the European H2020 project „Memory technologies with multi-scale time constants for neuromorphic architectures (MeM-Scales)“, whose central objective is to build (analog, spiking) neuromorphic microchips which can adapt to online input signals which display many timescales. Since microchip physics will deliver only a few physical timescales, collective computational phenomena will have to be explored in order to realize the long-range memory timescales required by many tasks. Since at this point, numerous but hardly explored options are "in the air" for computational timescale management, this position offers much freedom to engage in original work.

The *second position* is funded through university budgets and is independent of specific project demands. The position holder will enjoy unusual freedom, paired with intellectual risk, to contribute to the ultimate scientific goal of Jaeger’s group: a unifying formal theory of information processing in nonlinear dynamical systems - regardless of whether they are similar to biological brains, or rest on non-neural dynamical phenomena in novel material substrates. Obviously, such a unifying theory, which would play for neuromorphic computing a similarly central role as Turing computability theory plays for digital computing, is not in sight and may be even not possible. However, many mini-revolutions in mathematical denoscription formats are possible, and needed.

Each position will be filled by either a PhD student with a 4-year contract, or by a Postdoc with a 3-year contract. The only selection criterion is qualification (product of intellectual audacity, analytical thinking power, and relevant mathematical and factual knowledge).

These two positions are a perfect intellectual challenge for adventurous mathematicians, theoretical physicists / biologists, theoretical computer scientists or analytically minded machine learners with a background in dynamical systems, dynamics on networks, information theory, or formal logic.
Groningen:
First position:
https://www.rug.nl/about-us/work-with-us/job-opportunities/?details=00347-02S0007DOP (PhD version)
https://www.rug.nl/about-us/work-with-us/job-opportunities/?details=00347-02S0007DQP (Postdoc version)
Second position:
https://www.rug.nl/about-us/work-with-us/job-opportunities/?details=00347-02S0007DNP (PhD version)
https://www.rug.nl/about-us/work-with-us/job-opportunities/?details=00347-02S0007DPP (Postdoc version)

Please apply for at most one of these formal job announcements, following the instructions given at these weblinks. For pre-application inquiries please contact me directly by email (h.jaeger at rug.nl). Applications received before December 1 will be given full consideration; however, the positions will remain open until filled. The earliest (and desirable) starting date for both positions is January 1, 2020.


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PhD studentships available at the University of Edinburgh

3 interdisciplinary PhD projects combining experimental neuroscience and informatics are available in Dr. Gulsen Surmeli's Lab (https://www.ed.ac.uk/discovery-brain-sciences/our-staff/research-groups/dr-gulsen-surmeli) at the University of Edinburgh. The projects aim to investigate neural circuits of learning and memory using state-of-the art molecular and imaging tools. For more information about the projects and application guidelines please follow the links below.



Project 1. Investigation of cortical population codes for long-term memory.

https://www.findaphd.com/phds/project/eastbio-investigation-of-cortical-population-codes-for-long-term-memory/?p114669

Project 2. Imaging cortical codes for learning and memory in models of autism spectrum disorders.

https://www.edinburghneuroscience.ed.ac.uk/project/autism-intellectual-disability-neurodevelopment/imaging-cortical-codes-learning-and-memory

Project 3. Investigation of long-range connectopathies in autism spectrum disorders using high-throughput single cell projection mapping.

https://www.findaphd.com/phds/project/precision-medicine-dtp-investigation-of-long-range-connectopathies-in-autism-spectrum-disorders-using-high-throughput-single-cell-projection-mapping-and-3d-imaging/?p114864

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