Fixed-term
Ph.D Position in Systems Neuroscience
Your Workplace Institute of Physiology and Pathophysiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Benefits: We Have a Lot To Offer Regular promotion to the next level and increase in salary pursuant to the collective bargaining agreement for the public service of the German Länder (TV-L) or remuneration pursuant to the Bavarian Public Servants Remuneration Act (BayBesG) plus an additional annual bonus 30 days annual leave at five working days per week with additional free days on December 24 and 31 Flexible working hours and models and the possibility to take time off in lieu Occupational pension scheme and asset accumulation savings scheme Family-friendly environment with childcare options, also during school holidays Working from home generally possible after training A wide range of training courses and opportunities for professional development Thorough onboarding process with a dedicated team Joint team activities Subsidized food and drinks in our student restaurants Offices within comfortable walking distance of public transport Active health management IT-supported facility management system Your Tasks The laboratory of Prof. A. Ponomarenko is seeking a doctoral student with a strong interest in the dynamics of neuronal circuits and behavior. A central research topic of our group is neural coding and dynamics underpinning cognitive control of learned and instinctive (innate) behaviors. Using in vivo electrophysiology, opto-, chemogenetics, and machine learning approaches we have previously shown that network oscillations organize neuronal signaling from the hippocampus, prefrontal cortex, and the lateral septum to and within the hypothalamus, and crucially contribute to the regulation of locomotion (Bender et al., 2015), food seeking (Carus-Cadavieco et al., 2017) and intake (Altafi et al., 2024), and behavioral transitions (Chen et al., 2024). Your Profile You hold a Master’s (or equivalent) in neuroscience or a related field and are genuinely curious about neuronal dynamics and behavior. Prior experience with in vivo techniques, including animal behavior and computational data analysis, is highly beneficial. Motivation to acquire computer coding skills is required. You bring a constructive, problem-solving mindset to the project, are prepared for sustained and focused work, and value effective communication with your team and supervisor. The application process Apply online Automatic confirmation of receipt sent by e-mail Place of employment views applications Invitation to first interview Optional invitation to second interview in person at FAU Is there a match? Employment documents prepared Consultation with Staff Council Commencement of employment – welcome to FAU Notice For all job postings, the following applies: Friedrich-Alexander-Universität promotes equal professional opportunities for women. Women are therefore expressly encouraged to apply. Severely disabled persons as defined by the German Severely Disabled Persons Act will be given preferential consideration if they have the same professional qualifications and personal aptitude and if the advertised position is suitable for severely disabled persons. Details can be found in the respective job posting under “Remarks.” At the applicant’s request, the Equal Opportunities Officer may be included in the job interview without any disadvantage to the applicant. All advertised positions are generally suitable for part-time work unless stated otherwise in the job posting. Contact Prof. Alexey Ponomareko Email: alexey.ponomarenko@fau.de Phone: +49 9131 85-29302 Apply Now
Ph.D position in Fungal Ecology
At the University of Bayreuth, at the Chair of Fungal Ecology, a position is expected to be filled as of 01.05.2026 (part-time, 65%). The position is limited to 4 years. Your tasks: The largest part of plant and animal biomass produced in forests enters the soil compartment, and returns into nutrient cycles as dead organic matter, which is decomposed by bacteria, fungi, arthropods and other soil organisms. The structure of the forest canopy affects light, temperature and moisture conditions at ground level, and the quantity and quality of litter and dead wood produced, which thus determines decomposer biodiversity, rates of decomposition and nutrient cycling. Therefore, changes in forest management practices that alter the forest canopy can largely affect decomposers, decomposition processes and nutrient fluxes. This project aims to quantify the direct environmental (microclimate, resource availability) and indirect microbial diversity effects of Enhancement of Structural Complexity treatments on necromass decomposition at the patch (alpha), between-patch (beta) and forest district (gamma) level. A broad set of diversity measures, encompassing taxonomic, phylogenetic, and functional diversity, will be employed to enhance our mechanistic understanding of microbial diversity’s relationship to decomposition processes. The project includes assessing the temporal aspects of decomposition through continuous monitoring of (i) crucial decomposer groups, specifically bacteria and fungi found in deadwood, and of (ii) decomposition rates of various necromass types, including often overlooked fungal mycelia. Finally, to evaluate the functional implications of different decomposition rates resulting from ESC treatments, we will use a tracer experiment to measure nutrient release from decomposing substrates and their subsequent uptake by plants. We are looking for candidates (m/f/d) with a deep interest for molecular ecology and ecosystem functioning research, who appreciate intensive field work in the forest as well as lab work, and who have a good understanding of statistics. We offer a four-year TV-L 65 % contract, excellent working conditions, and an inspiring atmosphere at the Universities of Bayreuth and Freiburg. Your Profile: Excellent M.Sc. degree in a project-related field (e.g. ecology, forest science, remote sensing, environmental sciences) Very good ecological knowledge and great interest with regard to forest biodiversity/functioning research Good quantitative and statistical skills in R Excellent communication skills in English – writing and speaking. Motivated to be a proactive team player in an international, interdisciplinary research consortium Field work experience in forests would be advantageous Driving license is a must; partly also a private car, if the company car is not available. (Reimbursements for private KM costs will be paid based on a flat rate per kilometer.) What you can expect: Cutting-edge research projects in a real-world forest diversity experiment Outstanding, interdisciplinary and integrative research environment, offering many networking opportunities Individual supervision by internationally recognized scientists in BEF and forest biodiversity research Extensive data on biodiversity, forest structure, climate and ecosystem functions collected in a unique landscape experiment A secure position at a modern university An interesting and varied role within the university environment Flexible working hours and the possibility of working from home within the framework of the applicable service agreement A constructive working atmosphere in a friendly, open-minded team Good compatibility of family and career Opportunities for personal and professional development through various training programs Additional advantages of public service employment, such as JobRad, attractive supplementary pension benefits with the VBL, and a wide range of health promotion offerings (e.g., health days, workshops, Active Break), as well as the opportunity to participate in a large number of different sports activities through the university sports program In addition to regular vacation days and the option of flexible working hours, days off on December 24 and December 31 each year Compensation is based on TV-L. The University of Bayreuth values the diversity of its employees and explicitly commits to the goal of gender equality. Applications from women are strongly encouraged. Applicants with children are very welcome. The University of Bayreuth is a member of the Best Practice Club “Familie in der Hochschule e.V.” and has successfully participated in the HRK audit “Internationalization of Universities.” Persons with disabilities will be given preference if equally qualified. Your application Please apply online with meaningful application documents by 25.02.2026, indicating the reference code“SP7”via the University of Bayreuth’s application portal. All documents will be deleted following the filling of the position in accordance with data protection regulations. For further questions, please contact: Prof. Dr. Claus Bässler (claus.baessler@uni-bayreuth.de) Apply Now
Postdoctoral researcher position in machine-learning for multi-omics
Heidelberg University is a comprehensive university with a strong focus on research and international standards. With around 31,300 students and 8,400 employees, including numerous top researchers, it is a globally respected institution that also has outstanding economic significance for the Rhine-Neckar metropolitan region. The department of Bioinformatics at the Institute of Pharmacy and Molecular Biotechnology (IPMB) of Heidelberg University is offering a 3-year full-time (100%; 39,5 h/week) postdoc position in Multiomics Data Integration and Machine-Learning for therapy response prediction in metastatic cancer. This position is funded by the European Partnership in Personalized Medicine (EP PerMed) within a trans-national consortium involving research groups from Spain, Italy, France and Germany, focusing on metastatic papillary renal carcinoma. The consortium will perform multi-omic characterization of metastatic pRCC samples across four European countries, integrating real-world drug response data with preclinical model testing to create the world′s largest metastatic pRCC database. Heidelberg University leads the multidimensional data integration task, focusing on centralized data management and machine learning-based integration of multi-omic datasets. Our goal is to identify predictive signatures and develop treatment response models to enable biomarker-guided clinical trials. Postdoctoral researcher in machine-learning for multi-omics (f/m/d) Your tasks: Apply interpretable machine learning approaches to identify multi-omic signatures and build predictive models for Treatment response. Establish and maintain centralized storage infrastructure for processed multi-omic datasets from consortium partners And community use. Collaborate with clinical and experimental partners across multiple countries. Your profile: PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, or related field Experience with high-throughput genomic data analysis Experience in machine learning and statistical modeling for genomic data Excellent English communication skills and team work skills Experience with multi-omics data integration and cancer genomics would be a plus We offer: Position in cutting-edge precision medicine research with international collaborators Access to unique multi-omic datasets and computational infrastructure A stimulating research environment within the Institute and at Heidelberg University (www.hdsu.org) Home office opportunity Remuneration is based on the German wage agreement for the public service (TV-L). Please send a PDF of your CV, including up to five publications if available, and a one-page motivation letter including at least two references in one collated PDF file to: carl.herrmann@uni-heidelberg.de. The application deadline is February, 20th 2026. carl.herrmann@uni-heidelberg.de) Heidelberg University stands for equal opportunities and diversity. Qualified female candidates are especially invited to apply. Persons with severe disabilities will be given preference if they are equally qualified. Information on the job advertisements and the collection of personal data is available at www.uni-heidelberg.de/en/job-market.
Scientific coordinator position to investigate robustness mechanisms of various plant species at all levels of biological organisation in response to biotic and climatic disturbances
Your tasks: Coordination of the research activities of the cluster research teams in Heidelberg and the other two locations, in particular with the main cluster coordination office at Tübingen University Support of the Heidelberg cluster spokesperson in all matters to pursue the scientific aims of the cluster Driving the scientific and structural development of the cluster Coordination of the finances and personnel at the Heidelberg location including set-up and management of cluster-internal funding schemes Organisation of the cluster committee meetings, scientific workshops, conferences and meetings with the international scientific advisory board also in terms of content Contribution to the regular reporting duties together with the main cluster office in Tübingen and the cluster spokespersons Coordination of the research-oriented teaching activities of cluster members in Heidelberg also in terms of content and development of cluster-focussed teaching offers Supervision of personnel management, the local cluster management office and daily administrative routines Acting as liaison between researchers, university administration and the cluster partners Acting as diversity manager for all cluster teams and locations Conceiving a diversity strategy in close collaboration with the Unit for Family, Diversity & Equality (Unify) of Heidelberg University and the other two cluster locations Contribution to outreach activities of the cluster Support of the generalization and dissemination of scientific concepts revealed by cluster members Critical monitoring of cluster-related research activities Your profile: Completed scientific university degree (Master’s or university diploma) and doctorate preferably in biology, agricultural sciences, or a related natural science discipline Postdoctoral and international experience is highly desirable Experience in the management and coordination of (interdisciplinary) research projects is highly desirable Strong strategic mindset and demonstrated ability for proactive and solution-oriented approaches Experience in teaching and development of teaching programs can be of advantage Working effectively both in an independent manner and as part of a diverse, collaborative team High level of communication skills and reliability Excellent written and verbal communication skills in German and English language We offer: Varied and responsible tasks in a dynamic international environment Opportunity for professional development Very friendly and collegial working atmosphere Flexible, family-friendly working time models Wide range of university benefits (subsidized Deutschlandticket, university sports etc.) The position is generally divisible and remunerated according to TV-L. We look forward to receiving your application, which you should send with the usual documents (CV, certificates, letter of motivation etc.) in one PDF file by e-mail to the co-spokesperson of the Green Robust Cluster of Excellence, Prof. Thomas Greb, by 05.03.2026, cos@cos.uni-heidelberg.de Heidelberg University stands for equal opportunities and diversity. Qualified female candidates are especially invited to apply. Persons with severe disabilities will be given preference if they are equally qualified. Information on job advertisements and the collection of personal data is available at www.uni-heidelberg.de/stellenmarkt.